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ABOUT MAINLAND

Born out of a need to transcend the old ideas of storytelling for the 21st century, Mainland is the one-stop shop for storytelling and amplification. We believe in a full-circle approach to creating impactful stories. Who we are is synonymous with what we do. At our core, Mainland is driven by three guiding principles to create a brand biography: people, storytelling and measurable results. We deliver better relationships, strategy, service, and results while consistently accomplishing and exceeding our clients’ expectations.

We offer public relations, content marketing, social media, graphic design and branding, consumer brand strategy, franchise development consulting, marketing strategy and execution, advertising and experiential marketing services.

We are the agency of choice for the Franchise Brands industry, but that’s not all! We also serve the Hospitality, Travel, Home Services, Real Estate, and Technology industries.

WHY WORK FOR US?

Are you looking for a start-up culture with the resources, stability and foundation of an established company with 15 years at the top of its field? What about an entrepreneurial environment balanced with autonomy and structure to spur creativity and new ideas?

Do you want to be challenged daily and given opportunities to grow personally and professionally? Challenging convention is at the core of everything we do. We eliminate the mindset that the status quo is enough through next-level content, creative, distribution and talent. We build teams that continually strive to get better than the day before.

With that said, we invite you to apply even if you don’t meet every single requirement listed below. Our success starts with our people, and we are looking for people who want to grow with us!

WHO WE ARE LOOKING FOR IN AN EDITOR

As the Mainland Editor, you'll be an experienced and influential member of our content team. This role is central to shaping the voice of our online publication and driving content strategy to meet business goals for our Franchise clients. This role requires a high degree of confidence and autonomy, with a strong emphasis on quality, accuracy, and strategic thinking.

Key Responsibilities:

• Accountable for upholding quality standards of writing across the team and reporting on team performance.
• Manage an editorial calendar for an online publication to achieve business goals.
• Act as a mentor for junior writers, providing guidance on writing, research, and best practices.
• Produce 12 stories per week, as well as advanced press releases and profiles with minimal oversight.
• Divide your writing time between client work (60%) and company content (40%).
• Independently manage all aspects of story creation, from sourcing leads and conducting interviews to writing and publication.
• Assist in proofreading and editing content for the broader team to ensure quality standards.
• Proof content for accuracy, completeness, and adherence to SEO best practices to direct traffic to our content.
• Be highly organized while juggling a lot of different people, places, and things.

Qualifications:

• A college degree and extensive professional writing experience are required.
• Proven experience as an editor and writer in a magazine or newspaper setting with a strong business background.
• A proven track record of success in a high-volume, deadline-driven writing role.
• Exceptional command of the English language, with a sophisticated understanding of business and technical writing.
• Demonstrated ability to work autonomously and manage multiple high-priority projects.
• Strong knowledge of SEO best practices for content optimization.
• Must have experience using AI detection tools (e.g., GPT Zero, Grammarly) and using AI as a tool, with discretion.
• Proficiency with Google Workspace and experience with Accelo for project management.
• Must be highly organized, confident, and a proactive problem-solver.
• On-camera presence for internal meetings and willingness to be featured in video content are required.

Working Environment

• This is a hybrid position, requiring 3 days a week in our Chicago office.
• Expect morning meetings with individual team members, the team, clients, and sources.
• A dedicated, distraction-free workspace is required for remote work days.
• Time tracking is required.
• Travel of up to 10% may be required for client events.

Compensation & Benefits

• Salary range: $55,000 - $75,000 annually, based on relevant experience.
• Health: 75% coverage of a high-quality national PPO insurance plan.
• Retirement: 401(k) matching of 100% of the first 1%, plus 50% of the next 5%.
• Paid Time Off: Unlimited PTO after 90 days of employment.
• Professional Development: Professional development allowance.

"Candidates must be authorized to work in the United States without the need for current or future visa sponsorship."

Role Overview

We are seeking a highly motivated and experienced GRC Manager to lead and mature our cybersecurity governance, risk, and compliance program across a complex retail ecosystem supporting 60,000+ associates, thousands of brick-and-mortar stores, distribution centers, corporate offices, datacenters, and multi-cloud environments.

This role will play a critical part in supporting our ongoing divestiture and Transition Services Agreement (TSA) journey initially, helping establish independent governance structures while ensuring continued alignment with shared services and transitional operating models.

The GRC Manager will partner closely with internal stakeholders, legacy service providers, and Business Process Outsourcing (BPO) partners to ensure risk visibility, compliance assurance, and control ownership clarity across both transitional and steady-state environments.

The ideal candidate is both strategic and execution-oriented, capable of operating effectively in environments undergoing transformation while building scalable governance frameworks for the future state.

Key Responsibilities

Governance & Program Leadership

• Lead the enterprise cybersecurity governance framework aligned to NIST CSF / NIST 800-53 / ISO 27001.
• Support the design and maturation of governance structures as the organization transitions through TSA toward a standalone operating model.
• Own and maintain the cybersecurity policy, standards, and control framework lifecycle.
• Establish governance forums and reporting cadence with executive leadership.
• Drive maturity roadmap aligned to organizational risk appetite and separation milestones.
• Ensure governance processes are embedded across internal teams, TSA providers, and BPO partners.

Risk Management

• Manage the enterprise cyber risk program including risk identification, assessment, treatment, and reporting.
• Assess risks related to shared services, transitional architectures, and separation activities.
• Facilitate risk assessments across cloud, retail stores, supply chain, datacenters, and enterprise applications.
• Maintain enterprise risk register and track remediation progress across internal teams, TSA providers, and BPO partners.
• Partner with architecture and engineering teams to embed risk-based decision making during separation initiatives.

Compliance & Regulatory Oversight

• Lead compliance efforts across relevant frameworks including:
• PCI DSS
• SOX ITGC
• Privacy / Data Protection requirements
• State and federal regulatory obligations
• Support compliance activities during TSA including shared control environments and inherited controls.
• Coordinate internal and external audits and manage evidence collection.
• Ensure continuous compliance monitoring across environments including controls operated by TSA and BPO providers.
• Validate adherence to contractual security and compliance obligations.

Third Party & TSA Risk Management

• Oversee vendor risk assessments across SaaS, supply chain, TSA providers, and service partners.
• Serve as the primary GRC liaison for cybersecurity BPO providers and transitional service providers.
• Monitor vendor, TSA, and BPO risk posture, performance metrics, and remediation activities.
• Partner with procurement and legal on risk reviews and contractual security requirements.

BPO Governance & Oversight

• Establish governance cadence with BPO partners including operational reviews and risk forums.
• Define and monitor security KPIs/KRIs and SLAs tied to BPO services.
• Ensure clear accountability and control ownership between internal teams, TSA providers, and BPO.
• Support continuous improvement initiatives with BPO providers to enhance control maturity.

Metrics, Reporting & Executive Communication

• Develop and maintain cyber risk dashboards and KPIs/KRIs aligned to separation milestones.
• Provide regular reporting to executive leadership and governance councils.
• Translate technical risk into business impact for decision making.

Cross Functional Collaboration

• Partner with Security Operations, Engineering, Privacy, Legal, Internal Audit, and IT.
• Support secure transformation initiatives including cloud migration and retail technology modernization.
• Provide governance support for separation programs and new capability buildouts.
• Drive security awareness from a governance and risk perspective.

Required Qualifications

• Bachelor’s degree in Cybersecurity, Information Security, IT, Risk Management, or related field.
• 7–8 years of experience in cybersecurity, risk, compliance, or audit roles.
• Experience operating in a large enterprise environment with distributed infrastructure.
• Experience supporting transformational programs, divestitures, or large-scale operating model changes.
• Experience working with or overseeing BPO / managed service providers in a cybersecurity or IT risk capacity.
• Strong understanding of cybersecurity frameworks (NIST CSF, ISO 27001, COBIT).
• Experience supporting regulatory audits (PCI, SOX, privacy).
• Experience with risk management methodologies and control frameworks.
• Strong stakeholder management and communication skills.

Preferred Qualifications

• Experience in retail, logistics, or highly distributed environments.
• Experience supporting multi-cloud environments (AWS, Azure, GCP).
• Professional certifications such as:
• CISSP
• CISM
• CRISC
• CISA
• Experience with GRC platforms (ServiceNow GRC, Archer, OneTrust, Auditboard etc.).
• Experience working in TSA or shared services environments.

Leadership Competencies

• Strategic thinker with strong execution discipline
• Ability to operate effectively in ambiguous and evolving environments
• Strong analytical and problem-solving skills
• Executive presence and communication ability
• Collaborative and people-focused leadership style
• Strong vendor and partner management capability

• 
  
• A typical day will involve a mix of hands-on coding, architectural design, and research.
  
• The engineer will spend a significant portion of their time in Python, building and optimizing agentic AI systems using frameworks like LangChain.
  
• This includes integrating these agents with our backend services and deploying them using CI/CD pipelines into our cloud environment.
  
• They will also be responsible for researching and testing new agentic models and frameworks, monitoring agent behavior in production, and collaborating with data scientists and business stakeholders to refine requirements and ensure the ethical deployment of AI solutions.
  

• 
  
• Python
  
• JavaScript/TypeScript
  
• AI Tools and Libraries (e.g. LangGraph, LangChain, Deep Agents, Claude Skills, etc.)
  
• AI Models (e.g. Claude, OpenAI, etc.)
  
• AI Concepts (e.g. Prompt Engineering, RAG, Agentic AI, etc.)
  
• Distributed SDLC/DevOps (e.g. github, pipelines, VS Code, testing frameworks, etc.)
  
• Platforms (Container Platforms, Cloud Platforms, Document Databases, AWS)
  
• API Design
  

• 
  
• Deep hands-on experience in Python for AI/ML development.
  

• 
  
• Generative AI Development: Proven experience developing Gen AI or AI/ML solutions, from use case conceptualization to production deployment.
  
• Infrastructure & DevOps: Strong understanding of cloud environments (AWS preferred), LLM hosting, CI/CD pipelines, Docker, and Kubernetes.
  
• Agentic AI Concepts: Knowledge of agentic/autonomous systems (e.g., reasoning, planning, tool use).
  

• 
  
• Proficiency in Python development and FastAPI/Flask frameworks, along with SQL.
  
• Familiarity with agentic AI frameworks and concepts such as LangChain, LangGraph, AutoGen, Model Context Protocol (MCP), Chain of Thought prompting, knowledge stores, and embeddings.
  
• Experience developing autonomous agents using cloud-based AI services.
  
• Experience with prompt engineering techniques and model fine-tuning.
  
• Strong understanding of reinforcement learning, planning algorithms, and multi-agent systems.
  
• Experience working across cloud platforms (AWS, Azure, GCP) and deploying AI solutions at scale.
  

Job Description

At Boeing, we innovate and collaborate to make the world a better place. We’re committed to fostering an environment for every teammate that’s welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us.

The Boeing Company is currently seeking Software Engineers–Simulationto support ourSimulation Frameworks, Services and Tools deployments team located inBerkeley, Missouri.This position will focus on supporting the Software Fabric / Boeing Emulation, Simulation, Test and Analysis Framework (BESTAF) business organization

This position will be a software development role on the Simulation Frameworks, Services, and Tools (SFST) deployment team that provides simulation software across the Boeing enterprise. The suite of tools support software verification, hardware verification, flight trainers, and warfare scenario simulation. The successful candidate will coordinate with commercial, defense, and other customers for requirements.

The candidate will participate in small developmental teams – and sometimes independently – to implement those requirements. Agile methodologies such as sprint planning, scrums, retrospectives, and demonstrations are expected.

The candidate should enjoy working collaboratively with others, have a commitment to customer satisfaction and process improvement, and be successful working in a multi-program environment. They will support the development of solutions to a wide range of complex problems that require ingenuity and innovation. They should be adaptable to new development environments and eager to work with and learn new technologies.

Our teams are currently hiring for a broad range of experience levels including Experienced and Senior Level Software Engineers.

Position Responsibilities:

• Designs, architects, and develops simulation models, simulation visualizations, virtual environments/platforms and frameworks to enhance test performance, safety, and durability of software and hardware systems throughout the entire product lifecycle

• Partners with stakeholders to review and identify simulation requirements and dynamics of the systems being simulated

• Performs design, modeling, simulation, testing, and analysis to assess and optimize overall system performance and capabilities

• Performs data collection and processing for use in simulations

• Validates, verifies, and refines simulation software code, models, simulations, test procedures and test environments, executing test procedures and documenting test results and models against real-world data, test data, benchmarks, or other similar models

• Documents and maintains technical code, algorithms, specifications and descriptions of simulation models

• Partners with cross functional engineering teams to enable integration of simulation software with hardware devices and systems

• Implements current and emerging technologies, tools, frameworks, and methods in the software engineering simulation environment

• Modernizes, migrates, sustains, and updates simulation software to adapt legacy systems to new operating systems

• Performs simulation software project management functions

Basic Qualifications (Required Skills/ Experience):

• 4+ years of experience in software programming with C, C++, C#, .NET coding, debug, and development

• 2 + years of experience in software programming with Python

Preferred Qualifications (Desired Skills/Experience):

• Bachelor of Science degree from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), chemistry, physics, mathematics, data science, or computer science.

• Level 3: 3 or more years’ related work experience or an equivalent combination of education and experience

• Level 4: 5 or more years’ related work experience or an equivalent combination of education and experience

• 4 or more years' related work experience or an equivalent combination of education and experience (e.g. PhD+4 years' related work experience, Master+7 years' related work experience

• 2 or more years’ experience in software programming with Rust

• Active Security Clearance

• Experience with embedded software and hardware interfacing-software

• Experience working across software-interface boundaries, including hardware, firmware, and software (Including technical coordination with interfacing teams)

• Experience handling multiple projects simultaneously

• Decision making abilities to complete efforts with minimal requirements definition

• Experience in software development in Visual Studio

• Experience with avionics and Ethernet communication protocols

• Experience with Agile Methodology

• Experience with Git, Continuous Integration, Cloud Computing technologies

Drug Free Workplace:

Boeing is a Drug Free Workplace (DFW) where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies.

Travel:

10%

CodeVue Coding Challenge:

To be considered for this position you will be required to complete a technical assessment as part of the selection process. Failure to complete the assessment will remove you from consideration.

Pay & Benefits:

At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities.

The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work.

The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements.

Pay is based upon candidate experience and qualifications, as well as market and business considerations.

Summary pay range for Associate Level (Level 2): $98,600 - $133,400

Summary pay range for Experienced Level (Level 3): $123,250 - $166,750

Summary pay range for Senior Level (Level 4): $153,000 - $207,000

Applications for this position will be accepted until Mar. 24, 2026

Export Control Requirements:

This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a “U.S. Person” as defined by 22 C.F.R. §120.62 is required. “U.S. Person” includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee.

Export Control Details:

US based job, US Person required

Relocation

This position offers relocation based on candidate eligibility.

Security Clearance

This position requires the ability to obtain a U.S. Security Clearance for which the U.S. Government requires U.S. Citizenship. An interim U.S. Secret Clearance Pre-Start and final U.S. Secret Clearance Post-Start is required.

Visa Sponsorship

Employer will not sponsor applicants for employment visa status.

Shift

This position is for 1st shift

Equal Opportunity Employer:

Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.

Profitmind is building the intelligence behind how retailers make pricing and merchandising decisions. Today, many of these decisions are still driven by spreadsheets, rigid rules, and manual judgment, even at the largest brands.

Our platform turns complex data such as sales, inventory, and competitive signals into clear, explainable recommendations merchants can trust. Our platform focuses on impact, helping retailers improve margin, inventory health, and decision quality at scale. 

Based in Pittsburgh, Profitmind is backed by a recent strategic investment from Accenture, and scaling its agentic AI platform to power decision-making for some of the world’s largest retailers.

About the role:

We’re looking for a multi-disciplinary AI Engineer to design, implement, and deploy LLM-driven agents with strong backend and front-end integration. You’ll be leading efforts across LLM agent design, prompting, fine-tuning, and MLOps, while building real-world, production-grade applications with modern web technologies.

The ideal candidate combines a strong foundation in Python and AI with practical experience in agent frameworks like LangGraph, PydanticAI, and Google ADK, as well as FastAPI and front-end development.

What you’ll do:

LLM Agents & Prompt Engineering

• Architect and implement LLM agents using frameworks like LangGraph, PydanticAI, and Google ADK.
• Build composable, tool-augmented reasoning chains (e.g., RAG, CoT, ReAct, planner-executor).
• Integrate vector databases (e.g., FAISS, Pinecone, pgvector) and knowledge graphs (Neo4j) to support retrieval-augmented generation (RAG) and long-term chatbot memory.
• Design and maintain high-quality prompt strategies for robustness and reliability.

FastAPI, Model Context Protocol (MCP) & Backend

• Develop and maintain scalable APIs using FastAPI, supporting synchronous and asynchronous agent execution.
• Integrate Model Context Protocol (MCP) to enable secure and structured access to external data and tools within agent workflows.
• Implement state tracking, context-aware input dispatch, and modular plugin integration within the control plane.

Evaluation, Testing & Observability

• Build unit and behavioral tests for agents, tools, and workflows.
• Develop tooling for trace analysis, agent state debugging, and hallucination tracking.
• Compare and benchmark agent orchestration frameworks for trade-offs in speed, reliability, and usability.

Model Fine-Tuning & MLOps

• Fine-tune models using LoRA, QLoRA, or full fine-tuning pipelines.
• Integrate, deploy, and monitor models in production using cloud providers.
• Set up agent logging, observability dashboards, and recovery workflows.

Front-End & UX

• Familiar with React, TypeScript, Next.js, or similar frameworks
• Understanding of front-end and back-end integration for AI tools
• Ability to build basic dashboards or agent interfaces
• Integrate agents into interfaces
• Speak the language of UI 

What we’re looking for:

• 3+ years experience with Python in ML/AI systems and PyTorch or Tensorflow
• 1+ years experience with LLM agent development, prompt engineering, and frameworks like
• LangGraph, PydanticAI, and Google ADK.
• Experience with fine-tuning LLMs.
• Familiarity using vector stores like ChromaDB, Weaviate, or pgvector.
• Production experience with FastAPI, Docker, and MLOps
• Expert in Agentic Coding IDEs (Windsurf, Cursor or Claude Code)
• Bachelor’s or Master's degree in computer science

Nice to have:

• Open-source contributions to LLM/agent tooling
• Knowledge of async programming, websockets, and streaming APIs

What we offer:

• Competitive compensation and equity
• Comprehensive benefits including medical, dental, vision, etc.
• Unlimited and flexible PTO

By clicking the "Apply" button, I understand that my employment application process with Takeda will commence and that the information I provide in my application will be processed in line with Takeda's Privacy Notice and Terms of Use. I further attest that all information I submit in my employment application is true to the best of my knowledge.

Job Description

At Takeda, we are a forward-looking, world-class R&D organization that unlocks innovation and delivers transformative therapies to patients. By focusing R&D efforts on three therapeutic areas and other targeted investments, we push the boundaries of what is possible to bring life-changing therapies to patients worldwide.

The AI/ML organization at Takeda is building a team to transform how medicines are discovered. Our goal is to apply AI and machine learning across the entire drug discovery process, not just isolated steps, but as an integrated approach from target identification through development. This requires discernment: knowing which models and methods fit each problem, and the creativity to adapt when they don't. We work with foundational models, generative approaches, and autonomous systems, but the tools only matter when paired with people who understand the science deeply enough to use them well. Our team brings together computational scientists, biologists, engineers, and drug hunters. If you want to contribute your expertise to hard problems alongside colleagues with different perspectives, and help shape how AI delivers real impact in drug discovery, we'd like to hear from you

We are seeking a Senior Scientist to lead the design and implementation of AI orchestration systems within the AI/ML Foundation team. This role combines expertise in agentic AI systems, data engineering, and software architecture to build the infrastructure that enables seamless coordination of AI capabilities across Computational Sciences and Global Research. You will be responsible for creating intelligent orchestration layers that connect diverse AI models, data pipelines, and computational resources to accelerate drug discovery across all therapeutic modalities. The ideal candidate brings strong engineering fundamentals with experience in distributed systems and a passion for building scalable AI platforms.

Accountabilities:

• Design and implement AI orchestration frameworks that integrate agentic systems, data pipelines, and model serving infrastructure to enable coordinated multi-model workflows.
• Build scalable orchestration layers connecting predictive models, generative models, and foundation models with experimental data sources for end-to-end workflow automation.
• Develop data engineering solutions including data ingestion pipelines, transformation workflows, feature stores, and model serving infrastructure supporting discovery across modalities.
• Create intelligent orchestration systems that coordinate agentic AI components for autonomous task decomposition, tool selection, and execution across scientific domains.
• Establish monitoring, observability, and governance frameworks ensuring reliability, reproducibility, and transparent decision-making across AI systems.
• Partner with computational scientists, data engineers, and research teams to ensure orchestration infrastructure meets the needs of diverse discovery workflows.
• Stay current with advances in agentic AI, workflow orchestration, and distributed systems; evaluate and integrate emerging technologies.

Education & Requirements:

• PhD in Computer Science, Data Engineering, Computational Science, or related field with 2+ years relevant experience, OR MS with 6+ years relevant experience.
• Strong software engineering skills with proficiency in Python and experience with distributed systems and cloud infrastructure (AWS, GCP).
• Experience with workflow orchestration frameworks (Airflow, Prefect, Dagster, or similar) and data pipeline development.
• Familiarity with agentic AI frameworks (LangChain, AutoGen, or similar) and LLM integration patterns.
• Experience with containerization (Docker, Kubernetes) and microservices architecture.
• Strong problem-solving skills and ability to work across teams in a fast-paced R&D environment.

Preferred:

• Experience building AI/ML platforms or infrastructure in pharmaceutical or life sciences settings.
• Familiarity with scientific computing workflows and computational chemistry/biology tools.
• Experience with model serving frameworks (TorchServe, Triton, BentoML) and feature stores.
• Knowledge of monitoring and observability tools (Prometheus, Grafana, MLflow).
• Experience with event-driven architectures

Additional Competencies Common in Strong Candidates

• Ability to lead cross-functional initiatives and mentor junior scientists.
• Experience in translating computational insights into experimental strategies.
• Strong publication record or demonstrated thought leadership in AI for biology and molecular design.
• Comfort working in fast-paced, innovation-driven environments with evolving priorities.

ADDITIONAL INFORMATION

• The position will be based in Cambridge, MA

Takeda Compensation and Benefits Summary

We understand compensation is an important factor as you consider the next step in your career. We are committed to equitable pay for all employees, and we strive to be more transparent with our pay practices.

For Location:

U.S. Base Salary Range:

U.S. based employees may be eligible for short-term and/ or long-term incentives. U.S. based employees may be eligible to participate in medical, dental, vision insurance, a 401(k) plan and company match, short-term and long-term disability coverage, basic life insurance, a tuition reimbursement program, paid volunteer time off, company holidays, and well-being benefits, among others. U.S. based employees are also eligible to receive, per calendar year, up to 80 hours of sick time, and new hires are eligible to accrue up to 120 hours of paid vacation.

EEO Statement

Takeda is proud in its commitment to creating a diverse workforce and providing equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, parental status, national origin, age, disability, citizenship status, genetic information or characteristics, marital status, status as a Vietnam era veteran, special disabled veteran, or other protected veteran in accordance with applicable federal, state and local laws, and any other characteristic protected by law.

Locations

Worker Type

Worker Sub-Type

Time Type

Job Exempt

Job Description

At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us.

The Boeing Company is currently seeking Software Engineers–Simulationto support ourSimulation Frameworks, Services and Tools deployments team located inBerkeley, Missouri.This position will focus on supporting the Software Fabric / Boeing Emulation, Simulation, Test and Analysis Framework (BESTAF) business organization

This position will be a software development role on the Simulation Frameworks, Services, and Tools (SFST) deployment team that provides simulation software across the Boeing enterprise. The suite of tools support software verification, hardware verification, flight trainers, and warfare scenario simulation. The successful candidate will coordinate with commercial, defense, and other customers for requirements.

The candidate will participate in small developmental teams – and sometimes independently – to implement those requirements. Agile methodologies such as sprint planning, scrums, retrospectives, and demonstrations are expected.

The candidate should enjoy working collaboratively with others, have a commitment to customer satisfaction and process improvement, and be successful working in a multi-program environment. They will support the development of solutions to a wide range of complex problems that require ingenuity and innovation. They should be adaptable to new development environments and eager to work with and learn new technologies.

Our teams are currently hiring for a broad range of experience levels including Experienced and Senior Level Software Engineers.

Position Responsibilities:

• Designs, architects, and develops simulation models, simulation visualizations, virtual environments/platforms and frameworks to enhance test performance, safety, and durability of software and hardware systems throughout the entire product lifecycle
• Partners with stakeholders to review and identify simulation requirements and dynamics of the systems being simulated
• Performs design, modeling, simulation, testing, and analysis to assess and optimize overall system performance and capabilities
• Performs data collection and processing for use in simulations
• Validates, verifies, and refines simulation software code, models, simulations, test procedures and test environments, executing test procedures and documenting test results and models against real-world data, test data, benchmarks, or other similar models
• Documents and maintains technical code, algorithms, specifications and descriptions of simulation models
• Partners with cross functional engineering teams to enable integration of simulation software with hardware devices and systems
• Implements current and emerging technologies, tools, frameworks, and methods in the software engineering simulation environment
• Modernizes, migrates, sustains, and updates simulation software to adapt legacy systems to new operating systems
• Performs simulation software project management functions

Basic Qualifications (Required Skills/ Experience):

• 4+ years of experience in software programming with C, C++, C#, .NET coding, debug, and development
• 2 + years of experience in software programming with Python

Preferred Qualifications (Desired Skills/Experience):

• Bachelor of Science degree from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), chemistry, physics, mathematics, data science, or computer science.
• Level 3: 3 or more years' related work experience or an equivalent combination of education and experience
• Level 4: 5 or more years' related work experience or an equivalent combination of education and experience
• 4 or more years' related work experience or an equivalent combination of education and experience (e.g. PhD+4 years' related work experience, Master+7 years' related work experience
• 2 or more years' experience in software programming with Rust
• Active Security Clearance
• Experience with embedded software and hardware interfacing-software
• Experience working across software-interface boundaries, including hardware, firmware, and software (Including technical coordination with interfacing teams)
• Experience handling multiple projects simultaneously
• Decision making abilities to complete efforts with minimal requirements definition
• Experience in software development in Visual Studio
• Experience with avionics and Ethernet communication protocols
• Experience with Agile Methodology
• Experience with Git, Continuous Integration, Cloud Computing technologies

Drug Free Workplace:

Boeing is a Drug Free Workplace (DFW) where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies.

Travel:

10%

CodeVue Coding Challenge:

To be considered for this position you will be required to complete a technical assessment as part of the selection process. Failure to complete the assessment will remove you from consideration.

Pay & Benefits:

At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities.

The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work.

The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements.

Pay is based upon candidate experience and qualifications, as well as market and business considerations.

Summary pay range for Associate Level (Level 2): $98,600 - $133,400

Summary pay range for Experienced Level (Level 3): $123,250 - $166,750

With data being the fuel that drives our future - our strategies, policies, and business successes around data will define our future growth prospects. Unlocking the value available through the innovative use of data on behalf of consumers, businesses, and communities is key to our future. With our ongoing commitment to Visa’s Data Values and the responsible use of data, we at Visa have a bold vision to continue to grow and accelerate our data-

The AI Products & Analytics team under the Global Data Office is creating the next generation of scalable and responsible AI, ML and Data solutions and products to solve client and consumer problems. We are a cross‑functional team of data scientists, product/program managers, data engineers and ML Engineers focused on generating value for the payment ecosystem. We are dreaming of the next generation of AI features and products, Agentic AI solutions and high‑quality analytics and data science support for our internal partner teams.

This position is in the AI Practices & COE sub‑team under the AI Products & Analytics team, focused on AI Transformation of the Global Data Office. The AI Transformation program aims to accelerate operational efficiency and foster innovation through targeted automation. By deploying scalable AI solutions to existing time‑consuming workflows with high potential for AI disruption, this will ensure measurable, sustainable benefits across the Global Data Office.

• 
  
• Design and implement agentic AI workflows to automate multi‑step tasks and drive business impact.
  
• Integrate predictive, generative, and prescriptive AI models into enterprise processes for decision support and efficiency gains.
  
• Apply ML, deep learning, and NLP techniques to diverse datasets, building scalable, secure data pipelines for AI training, inference, and monitoring.
  
• Collaborate with product managers, engineers, and domain experts to embed AI solutions into operations.
  
• Define, track, and report KPIs to measure productivity improvements, cost savings, and accuracy gains.
  
• Validate AI impact through experimentation frameworks such as A/B testing and performance benchmarking.
  
• Document workflows, models, and processes to ensure knowledge sharing and adherence to best practices.
  
• Stay current on emerging AI frameworks and LLM‑based automation, prototyping innovative solutions for rapid adoption.
  
• Communicate complex technical concepts clearly to technical and non‑technical stakeholders, fostering cross‑functional collaboration.
  

This is a hybrid position. Expectation of days in the office will be confirmed by your Hiring Manager.

Relocation assistance is not provided for this role.

• 
  
• 2 or more years of work experience with a Bachelor’s Degree or an Advanced Degree (e.g. Masters, MBA, JD, MD, or PhD).
  

• 
  
• 3 or more years of work experience with a Bachelor’s Degree or more than 2 years of work experience with an Advanced Degree (e.g. Masters, MBA, JD, MD).
  
• 2+ years of hands‑on work experience with process/workflow automation and experience deploying Agentic AI solutions.
  
• Advanced Degree with specialization in AI, Computer Science, Data Science, Engineering, Statistics or a highly quantitative field.
  
• Strong technical proficiency in machine learning and AI frameworks, including TensorFlow, PyTorch, scikit‑learn, and Hugging Face Transformers.
  
• Experience with agentic AI and orchestration tools such as LangChain, LlamaIndex, or similar frameworks for multi‑step task automation.
  
• Solid data engineering skills, including SQL, Spark, Databricks, Airflow, Kafka, and ETL/ELT pipeline development.
  
• Proficiency in Python (primary) and familiarity with Java, Scala, or R.
  
• Experience with cloud and MLOps practices, including CI/CD, model monitoring, retraining pipelines, and containerization (Docker, Kubernetes).
  

Work Authorization: Permanent Authorization to work in the U.S. is a precondition of employment for this position. Visa will not sponsor applicants for work visas in connection with this position.

Work Hours: Varies upon the needs of the department.

Travel Requirements: This position requires travel 5‑10% of the time.

Mental/Physical Requirements: This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers.

Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.

Visa will consider for employment qualified applicants with criminal histories in a manner consistent with applicable local law, including the requirements of Article 49 of the San Francisco Police Code.

U.S. APPLICANTS ONLY: The estimated salary range for a new hire into this position is 137,400.00 to 193,750.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job‑related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity. Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program.

The Manager, Enterprise Programs & Platform Performance is a leadership role focused on developing high performance teams while driving enterprise programs and advancing platform capabilities that enable Global Security's mission worldwide. Reporting to the Senior Manager, Global Security Control Center (GSCC) Strategic Operations, this role leads a high-impact team including a Program Manager and Geospatial Specialists, while fostering an inclusive, high-trust culture aligned with The Walt Disney Company (TWDC) values. This role will coach, develop, and hold the team accountable—building capability and engagement to deliver exceptional results.

Beyond people leadership, this role serves as the enterprise subject matter expert for Travel Risk Management (TRM) and the platforms supporting Open-Source Intelligence / Social Media Research (OSINT/SMR) operations. As the TRM expert, this leader is responsible for evolving the enterprise TRM program into a global, Fortune 50 gold-standard capability supporting more than 150,000 travelers annually, partnering with enterprise travel leadership to align with ISO 31030 standards and ensuring Disney's global workforce is supported with best-in-class travel safety resources and response capabilities. The role also provides strategic direction for geospatial tools and OSINT/SMR platforms—defining desired outcomes and empowering the team to deliver technical solutions that drive reliability, automation, and actionable insights.

This position carries a global remit with primary focus on the Western Hemisphere and serves as part of the governance center for all TWDC Control Centers worldwide. The manager partners closely with GSCC operations leadership and teams across Global Security—including intelligence, investigations, security operations, and emergency preparedness and response—as well as enterprise travel leadership and studio segment partners to ensure readiness, response, and stakeholder confidence.

The GSCC operates 24/7/365, supporting emergency and non-emergency events, monitoring global affairs, managing incoming calls, dispatching resources, and providing event-driven global notifications. In emergencies, the GSCC coordinates enterprise assistance, delivers technical and advisory support for essential services, issues risk warnings, disseminates employee information, and serves as the central communication hub for Global Security.

This manager's portfolio has global impact - integrating enterprise programs and platform capabilities that shape security operations across all regions.

People Leadership

• Lead and develop a high-impact team (Program Manager and Geospatial Specialists); set clear goals, coach performance, and create growth opportunities.
• Build succession readiness and support career progression through structured development plans.
• Foster an inclusive, collaborative culture grounded in TWDC values.
• Provide advisory input to the Training Specialist on program-specific training needs

Program & Portfolio Leadership.

• Serve as enterprise SME for Travel Risk Management (TRM); own the strategic vision and maturation of the program into a Fortune 50 gold standard aligned with ISO 31030, supporting 150K+ travelers annually.
• Partner with enterprise travel leadership to design and implement TRM frameworks, policies, and response protocols that ensure traveler safety across all global destinations.
• Guide strategy on platforms supporting OSINT/SMR operations; oversee selection, configuration, and optimization to enable global monitoring.
• Drive strategic direction and delivery of TRM and OSINT/SMR programs in partnership with GSCC leadership; define objectives, timelines, risks, and success measures.
• Oversee vendor lifecycle management through the Program Manager; ensure KPI tracking, accountability, and service quality.
• Align program outcomes to enterprise priorities; remove barriers and prepare leadership narratives.

Stakeholder Engagement & Communication

• Deliver clear, executive-ready communications on program status, platform performance, and strategic recommendations.
• Act as GSCC liaison to enterprise stakeholders; maintain Service Level Agreements (SLAs) and feedback loops for continuous improvement.
• Represent TRM program strategy and performance to senior leadership, cross-functional partners, and external stakeholders.

Operations Readiness & Incident Support

• Partner with GSCC operations leadership to maintain 24/7 readiness; support incident workflows and crisis communications.
• Contribute to procedures, drills, and after-action reviews with intelligence, investigations, and emergency response teams.
• Flex into operations support during high-tempo events to ensure timely updates and stakeholder confidence.

Platform Performance & Strategic Guidance

• Provide strategic guidance for GSCC platforms and data pipelines; drive reliability, scalability, and user experience improvements.
• Oversee geospatial tools and dashboards for situational awareness, asset tracking, and executive briefings; enable automation and integration with OSINT/SMR platforms.
• Ensure integrity and curation of geospatial and intelligence datasets powering real-time decision-making.
• Here are the skills you will need to have to be successful in the role…
• 5+ years of experience in security, with a minimum of 3 years in travel risk management, including demonstrated expertise in TRM program design, implementation, and operations at an enterprise scale.
• Minimum of 3 years directly leading and developing people, including multidisciplinary teams across varied experience levels.
• Subject matter expertise in TRM frameworks, standards (such as ISO 31030), and travel safety program management.
• Working knowledge of OSINT/SMR platforms and operational frameworks.
• Program and portfolio management skills with enterprise-scale initiatives, multiple stakeholders, and competing priorities.
• Working knowledge of Global Security Operations Center (GSOC) operational frameworks and modern security platforms.
• Ability to synthesize complex information and communicate clearly to executives, frontline partners, and cross-functional teams.
• Proven ability to manage vendor relationships, track KPIs, and hold partners accountable to contractual commitments.

Education is important to us, here is what we are looking for…

• Bachelor's degree

It would be a plus if you had these skills…

• Experience building or transforming a TRM program at a global Fortune 500 organization.
• Experience with ArcGIS (maps, dashboards) and related geospatial tools and pipelines.
• Familiarity with vendor ecosystems supporting alerting, monitoring, traveler tracking, and mass notification capabilities.
• Experience driving platform performance improvements (data ingestion, reliability engineering, UX enhancements).
• Executive-level briefing skills and stakeholder management across Legal, HR, Communications, Finance, and Security segments.
• Professional certifications such as CPP, PSP, PMP, or equivalent credentials.
• Disney offers a rewards package to help you live your best life. This includes health and savings benefits, educational opportunities, and special extras that only Disney can provide. Learn more about our benefits and perks at DisneySecurity #twdcmedia #corp_media
  
  The hiring range for this position in Burbank, CA is $107,300 to $147,500 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate’s geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.

The Senior Data Scientist will play a critical role in building the foundation of Boot Barn’s AI and Data Science division, with a focus on developing advanced machine learning and generative AI solutions. This position will lead the design and deployment of models that power data driven solutions to support cross-departmental products, and intelligent agentic systems.

Working closely with AI/ML and Data Engineers, this individual will ensure models are robust, well-designed, and ready to scale, while contributing to the establishment of data science best practices across the organization.

Essential Duties and Responsibilities

• Design, build, and deploy predictive and generative AI models to address high-impact applications such as personalization, forecasting, marketing automation, and conversational agents.
• Conduct exploratory data analysis, statistical modeling, causal inference, and A/B experimentation to uncover insights and validate model performance.
• Develop high-quality, modular Python code for model training and experimentation using libraries and frameworks such as pandas, numpy, scikit-learn, PyTorch, TensorFlow.
• Collaborate with AI/ML Engineers to productionize models through containerization, orchestration, and CI/CD pipelines.
• Collaborate with Data and AI/ML Engineers to establish RAG pipelines, vector databases, and agentic frameworks.
• Prototype and deploy generative AI applications such as content generation agents, knowledge assistants, and multimodal interfaces.
• Partner cross-functionally with Store Operations, Ecommerce, Marketing, Merchandise, Supply Chain and Real Estate to identify and prioritize high-impact AI opportunities.
• Contribute to data science best practices, model documentation, and the creation of reusable modeling frameworks.
• Translate complex model results into clear business insights for technical and non-technical audiences.
• Demonstrates high level of quality work, attendance and appearance.
• Demonstrates high degree of professionalism in communication, attitude and teamwork with customers, peers and management.
• Adhere to all local, federal and state laws in addition to Company policies, procedures, and practices.
• Performs any other duties that may be assigned by management.

Qualifications

• Bachelor's or Master’s degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
• 3-5+ years of hands-on data science experience; proven track record in developing and deploying ML and generative AI models.
• Strong expertise in SQL, Python and core ML frameworks (scikit-learn, PyTorch, TensorFlow)
• Experience with LLMs, vector databases, and RAG pipelines
• Familiarity with MLOps workflows, containerization (Docker), and orchestration (Kubernetes) tools.
• Strong collaboration skills, with experience working closely with engineering and product teams.
• Retail and/or e-commerce experience preferred.

Competencies

• Ensure Effective Communication - Listens carefully and attentively to others' opinions and ideas. Communicates information clearly, concisely, and professionally.
• Establish Trust - Follows through on commitments. Is honest and direct with others. Promotes a culture of respect for, commitment to, and compliance with Company values, beliefs, and standards. Ensures the protection of confidential information.

Boot Barn Benefits & Additional Compensation Opportunities

• Competitive salary.
• Merchandise discount: 50% off of Exclusive Brands and 40% off of third-party brands.
• Paid Time Off plan for year-round Boot Barn Partners.**
• Medical, Dental, Vision and Life Insurance.**
• 401(k) plan with generous company matching.
• Flexible schedules and work/life balance.
• Opportunities for growth at every level – we are opening 50+ new stores each year.

**For eligible Boot Barn Partners

PAY RANGE: $125,000.00 - $150,000.00/yr*

*compensation varies based on geography, skills, experience, and tenure

Physical Demands

In general, the following physical demands are representative of those that must be met by a Partner to successfully perform the essential functions of this job. Reasonable accommodations may be made to allow differently abled individuals to perform the essential functions of the job.

• Standing, walking and squatting less than fifty percent of the work shift.
• Required to lift, move and carry up to 40 pounds.
• Ability to read, count and write to accurately complete all documentation and reports.
• Must be able to see, hear and speak in order to communicate with partners and customers.
• Specific vision abilities include close vision, distance vision, peripheral vision, depth perception and ability to adjust focus.
• Manual dexterity required using hands to finger; handle, feel and type; reach with hands and arms.

[ ] Sedentary: Limited activity, no lifting, limited walking

[ X ] Light: Office work, some lifting, bending, stooping or kneeling, walking

[ ] Moderate: Mostly standing, walking, bending, frequent lifting

[ ] Arduous: Heavy lifting, bending, crawling, climbing

Work Environment

In general, the following conditions of the work environment are representative of those that a Partner encounters while performing the essential functions of this job. Reasonable accommodations may be made to allow differently abled individuals to perform the essential functions of the job within the environment.

• The workspace is clean, orderly, properly lighted and ventilated with the proper safety compliance.
• Noise levels are considered moderate.

Boot Barn, Inc. reserves the right to make exceptions to modify or eliminate this document or its content. This document supersedes all previous policies, procedures or guidelines pertaining to this subject.

Our core value of community bands us together in supportive and inclusive ways to drive our collective success. Boot Barn provides equal employment opportunity to all applicants and employees without regard to race, color, religion, sex, sexual orientation, age, national or ethnic origin, veteran or military status, disability, as well as any other protected status under the law.

Americans with Disabilities Act (ADA) - Boot Barn will provide reasonable accommodations (such as a qualified sign language interpreter or other personal assistance) with the application process upon your request as required by applicable laws. If you have a disability and require assistance in this application process, please visit your nearest Boot Barn Store or Distribution Center or reach out to Human Resources at 1-949-453-4400, Option 4.

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Title: Enterprise Agile Coach -JIRA/JQL

Terms: Long Term Contract

Location: Atlanta area

Hybrid Role

Must live in Atlanta, GA

3 days a week on site is a requirement

Are you looking for a career opportunity that allows you to grow your career? If so, this opportunity will genuinely excite you! Our client is transforming how their organization services their customers while aligning best in breed technology solutions. We are looking for an Enterprise Agile Coach that has hands-on experience working with JIRA and JQL.This individual will help build out & develop best in class work and work on innovative projects for the business.

Job Title: Enterprise Agile Coach (Jira & JQL Specialist)

Position Overview

We are seeking an experienced Agile Coach with deep expertise in Jira and Jira Query Language (JQL) to drive enterprise Agile maturity, optimize delivery performance, and enhance visibility across portfolios. This role partners with Product, Engineering, PMO, and executive leadership to embed Agile best practices, implement data-driven performance metrics, and leverage Jira as a strategic delivery intelligence platform.

The ideal candidate combines hands-on Agile coaching experience with strong technical fluency in Jira configuration, reporting, workflow design, and advanced JQL querying to enable transparent, scalable delivery operations.

Key Responsibilities

Agile Coaching & Transformation

• Coach Scrum Masters, Product Owners, Release Train Engineers (RTEs), and leadership teams on Agile principles and frameworks (Scrum, Kanban, SAFe, Scrumban).
• Lead Agile maturity assessments and develop improvement roadmaps.
• Facilitate Agile ceremonies at team and program levels.
• Drive continuous improvement through inspect-and-adapt practices.
• Support enterprise Agile transformation initiatives.

Jira Administration & Optimization

• Configure and optimize Jira projects, workflows, issue types, permissions, and boards.
• Design scalable Jira frameworks aligned to SDLC governance and compliance requirements.
• Develop standardized templates for epics, features, stories, and acceptance criteria.
• Implement automation rules to streamline workflows and reduce manual effort.
• Maintain alignment between Jira configurations and Agile best practices.

Advanced JQL & Reporting

• Develop complex JQL queries to extract actionable insights across multiple teams and portfolios.
• Create dashboards and executive-level reporting for:
• Velocity trends
• Sprint predictability
• Burn-up / burn-down
• Cycle time & lead time
• Throughput
• Capacity planning
• Dependency tracking
• Partner with leadership to define KPIs and delivery health metrics.
• Train teams on using JQL for self-service reporting and transparency.

Portfolio & Scaling Support

• Enable cross-team coordination (Scrum of Scrums, dependency mapping).
• Support PI planning and scaled Agile events (if SAFe environment).
• Provide portfolio-level analytics using Jira data.
• Align tooling strategy with enterprise governance and compliance standards.

Required Qualifications

• 5+ years of experience as an Agile Coach, Senior Scrum Master, or Agile Transformation Lead.
• Deep expertise in Jira configuration and administration.
• Advanced proficiency in Jira Query Language (JQL).
• Experience designing dashboards and delivery metrics for executive audiences.
• Strong understanding of Agile frameworks (Scrum, Kanban; SAFe preferred).
• Experience coaching multiple teams in complex, enterprise environments.
• Excellent facilitation and stakeholder engagement skills.

Preferred Qualifications

• Jira Administrator certification.
• SAFe Program Consultant (SPC), SAFe Agilist, or equivalent certification.
• Certified Scrum Professional (CSP), PSM II/III, or CSM.
• Experience integrating Jira with BI tools (Power BI, Tableau, etc.).
• Familiarity with DevOps metrics and CI/CD tooling integrations.

Key Competencies

• Servant leadership
• Data-driven decision making
• Enterprise systems thinking
• Conflict resolution and facilitation
• Organizational change management
• Strong communication and executive presence

What Success Looks Like in This Role

• Increased Agile maturity and delivery predictability across teams.
• Standardized, scalable Jira frameworks adopted enterprise wide.
• Clear, executive-level visibility into portfolio health and performance.
• Reduced workflow inefficiencies through automation and governance.
• Empowered teams using Jira and JQL for transparent, data-driven delivery.

About GSquared Group:

Shouldn’t your recruiting partner put as much effort and value into your career as you do? With GSquared Group, we take the time to understand where you would like to take your career and what is important to you.

GSquared Group is a woman-owned boutique technology services company in the Atlanta area. Founded in 2010, we are a premier provider of IT talent search, management consulting, and software development services. We support a diverse client base that spans all industries and includes Fortune 100 to mid-market companies. We offer direct hire placement, contract, and contract-to-hire positions. We are proud to be known by our community for putting relationships at the core of everything we do.

GSquared Benefits:

• Competitive & Comprehensive Healthcare Package (available only for W2 hourly consultants)
• Simple IRA with company match (available only for W2 hourly consultants)
• Professional development & networking opportunities
• A family-friendly environment
• Nice bonuses for referrals
• A culture that supports you and your career

Hear what others are saying on Glassdoor:

Job Title: Solutions & Data Architect

Location: Phoenix, AZ

Job Type: Full Time

Compensation: $180,000 - $200,000 (dependent on experience)

Benefits: The position is eligible for medical, dental, vision, and life insurance coverage, & PTO

Position Summary

We are seeking an experienced Enterprise Solution Architect to lead the design and delivery of complex business applications, integrations, and data platforms. This individual will guide the architecture of scalable, secure, and high-performing technology ecosystems across the organization. The ideal candidate will have deep expertise in modern data platforms and cloud technologies, along with strong experience in application development frameworks and mobile solutions.

Key Responsibilities

• Lead the architecture of end-to-end solutions spanning enterprise applications, integrations, and data ecosystems.
• Design scalable, resilient, and secure system architectures supporting a wide range of business functions.
• Develop and maintain the enterprise data strategy and architectural roadmap to support long-term growth and modernization.
• Establish standards and governance for data quality, lineage, metadata management, and compliance.
• Build and refine cloud-based and hybrid data architectures leveraging modern storage, processing, and analytics platforms.
• Maintain enterprise data modeling standards and documentation across conceptual, logical, and physical layers.
• Collaborate with product and engineering teams to design custom solutions using modern development frameworks and cloud services.
• Lead the architectural direction for mobile applications leveraging native or cross-platform technologies integrated with enterprise systems.
• Create robust integration strategies using APIs, data pipelines, real-time streaming, and automation tools to connect legacy and modern systems.
• Oversee data migration initiatives from legacy platforms to modern cloud or hybrid environments, ensuring continuity and accuracy.
• Establish architectural patterns that support AI/ML initiatives, including data preparation, model lifecycle integration, and deployment.
• Define best practices for performance, scalability, maintainability, and operational readiness.
• Ensure alignment with cybersecurity standards, data-privacy requirements, and organizational controls.
• Champion architectural governance processes to maintain consistency across platforms and teams.

Qualifications

• Bachelor’s degree in Computer Science, Information Systems, Engineering, or related discipline.
• 8+ years of experience in solution architecture, enterprise systems design, or application development.
• Hands-on experience with:
• Modern cloud and data platforms (e.g., Azure-based analytics, Databricks-style platforms, or cloud data warehouses).
• Data modeling, pipeline development, and governance practices.
• Application development frameworks such as .NET, C#, and related technologies.
• SQL-based relational databases and reporting tools.
• Cloud services for application, integration, and workflow orchestration.
• Low-code/no-code platforms for workflow automation and app development.
• Mobile application development using native or cross-platform frameworks.
• Experience integrating enterprise platforms such as ERP, CRM, or HR systems.
• Background supporting operations-driven environments (industry experience not required but beneficial).
• Familiarity with Agile delivery methodologies.
• Strong communication skills with the ability to work across technical and non-technical teams.

Work Authorization: Applicants must be currently authorized to work in the United States on a full-time basis. Sponsorship will not be considered for this specific role.

Do you want to play a key role in enhancing the Cybersecurity program for a Fortune 200 company and national brand that has also been listed on the Fortune 100 Best Places to Work for the past 21 years in a row? Do you enjoy working in a collaborative environment where your ideas can help shape the direction and development of critical cybersecurity capabilities?

Do you want to work with a team of talented professionals that have in-depth technical knowledge and be the subject matter expert in technology governance, risk management, compliance, and audit requirements?

Then your job search begins and ends here….

Who we are looking for:

A Senior Technology/Information Risk Analyst with experience in the areas highlighted below. This is a unique opportunity to work at a Fortune 200 company and national brand to expand your skills and influence a growing Information Risk Management Program. This opportunity provides the ability to work with the Technology teams to effectively manage information risk and perform risk assessments. You will work with senior risk management and technology professionals to design and facilitate cybersecurity risk assessments on existing technology, processes to accommodate new business areas as well as changes in our risk profile and provide support across our information risk management framework activities. You will assist the Cybersecurity, technology, compliance, and information risk teams in identifying risks, developing recommendations to mitigate risk, manage information security policies, and assist with the company-wide information security awareness program, including design and management of the annual Information Security Training.

The Day to Day:

• As a key member of a high performing information risk management team, support, execute and maintain a framework for information risk management including validation, weighting, and classification methods.
• Perform information security risk assessments, understand threats, vulnerabilities and exposures associated with confidentiality, integrity and availability of information.
• Help develop related processes and procedures to ensure and enforce compliance with all company policies, applicable laws, and regulatory requirements regarding information security, privacy, and data integrity as well as reducing vulnerabilities.
• Assist with the development and delivery of information security risk related training and awareness programs.
• Assist with analysis of security vulnerabilities, developing risk-based business recommendations.
• Administer governance, risk and compliance systems and processes owned by the department.
• Assist in preparation of accurate and timely communications of risks, recommendations and conclusions as well as evaluating management mitigation plans.
• Assist in developing automated risk assessment tools and processes.
• Gathers data, conducts analyses, and prepares related risk reporting.
• As an integral member of the team, exhibiting ownership, follow-through, initiative, awareness and effective communication with peers and management and ability to speak to details of information risk management

Information Risk Methodology:

• Ability to help design and implement industry standard technology risk management practices across the enterprise.
• Champion the information risk management methodology by demonstrating ownership of the design aspects of the operations lifecycle.
• Passionate about support & ownership of threat areas of Cybersecurity.
• Understand level of risks and exposure as it relates to systems, services, and networks.
• Driver of security awareness type activities with proven results.

Here's the technology part…

Experience with the following required:

• Ability to understand the business requirements as well as provide a proposal of the appropriate information risk resolution to computer threats.
• Ability to understand the business processes supported across all team’s environments.
• Understanding of key compliance regulations such as Sarbanes-Oxley, GLBA, HIPPA , CFPB, and Payment Card Industry (PCI), plus external Cybersecurity and privacy regulations.
• Experience in execution of an enterprise and technology risk framework, including the identification, assessment, and mitigation of risk: understanding how to balance the company’s risk appetite and its overall impact.
• Understanding of network controls, cloud controls, user administration, authentication methods, file permissions, groups, and domain concepts.
• Demonstrated ability to compare alternative information security risk approaches and methodologies while assessing risk both quantitatively and qualitatively to meet the business needs.
• Excellent communication skills to include but not limited to verbal and written communication; delivering organized presentations; able to tailor message to the audience; and facilitate group discussions with diplomacy and seek diverse opinions.
• Excellent analytical, troubleshooting, and problem-solving skills and performs well under fast paced, high pressure or stressful situations.
• Ability to learn the business processes implemented in the team's applications. Demonstrated flexibility.
• Proven ability to effectively communicate remediation and prevention approaches via leading practices.
• Ability to help develop and deliver information security awareness training and business understanding for business partners, engineers, developers, and analysts.
• Ability to drive through obstacles and time constraints to successfully deliver to completion
• Dedication and commitment to world class service and to exceeding customer expectations.
• Desire to learn and keep current with technology and emerging technology risk trends.
• Possess strong organization and time management skills.
• Demonstrated flexibility in a fast paced and agile environment.
• Expertise solving technical problems and presenting solutions which impact all areas of their team’s systems environments.
• Excellent analytical, troubleshooting, and problem-solving skills.
• Ability to evaluate long term impacts when making recommendations and decisions.

Education and/or Experience:

• Bachelor's degree in Business/ Computer Science/Information Systems with IT audit, risk or compliance experience or equivalent military experience.
• Industry certification required, i.e. Certified in Risk and Information Systems Control (“CRISC”), or in the process of obtaining the CRISC, CISA, CISM, BCBP, CIA, PCI, CISSP.
• Knowledge of information security, risk management industry frameworks and standards NIST, COSO, OWASP, ISO-27001/2, SANS, Cobit and ITIL.
• 5+ years working experience with enterprise and technology risk management programs, privacy, data security and control issues with technologies.
• Previous working experience and/or knowledge of two or more security functions (IT Risk Assessor, QSA, Security Specialist, IT Auditor).

Work Location and Arrangement: This role will be based out of the Richmond, VA Technology Innovation Center. Associates based in Richmond work onsite 5 days per week.

Work Authorization: Applicants must be currently authorized to work in the United States on a full-time basis. Sponsorship will not be considered for this specific role.

About TYR Sport

TYR Sport is one of the most recognized and respected performance athletic brands in the world. Named for the Norse god of valor and sacrifice, TYR was founded on the belief that the pursuit of excellence demands the finest tools. Today, TYR is the second-largest performance swimwear brand in North America, with products distributed in more than 30 countries and annual revenue exceeding $100 million. The brand’s portfolio spans competitive swimwear, triathlon gear, training apparel, footwear, and equipment — all engineered for athletes who train with intent and compete with purpose.

TYR’s digital infrastructure is anchored by a Shopify Plus ecommerce platform supported by an expanding suite of technology integrations, including product information management tools and digital marketing platforms. As TYR accelerates its global digital business, the company is making a major investment in artificial intelligence to build a next-generation customer experience that unifies ecommerce, marketing, and sales into a single intelligent ecosystem.

The Opportunity

This is TYR’s most senior AI role. The Director of Artificial Intelligence will lead the company’s AI strategy, own the technical roadmap, and be accountable for AI’s impact on revenue, growth, and competitive advantage.

Reporting directly to the Chief Operating Officer or Chief Executive Officer, this leader will build TYR’s AI function from the ground up, initially as a hands-on individual contributor. The Director will define the strategy, infrastructure, and operating framework that will shape the company’s technological future. As the function matures, there will be an opportunity to build and lead a dedicated AI team.

The Director will operate as a peer to other functional leaders, with the authority to drive AI adoption across the organization, including ecommerce, marketing, sales, supply chain, and operations.

The primary commercial focus of this role is TYR’s digital business. Ecommerce and marketing are the highest-priority domains, and the Director will be expected to deliver measurable results in these areas first. This leader will transform TYR’s digital storefront into a personalized, AI-driven shopping experience and help evolve marketing into a precision, data-driven growth engine.

The ideal candidate is a seasoned AI practitioner who can operate strategically while remaining deeply hands-on — someone who has built and deployed high-impact AI products in ecommerce, retail, or consumer environments and can confidently influence senior leadership.

Core Responsibilities

Enterprise AI Leadership

Serve as the single point of leadership for artificial intelligence across TYR. Define the company’s AI vision, establish strategic priorities, and oversee architectural and investment decisions. Develop and maintain a multi-year AI roadmap aligned with TYR’s growth strategy, and communicate progress and outcomes to executive leadership.

Establish the processes, governance frameworks, and technical foundations necessary to scale AI innovation across the organization.

Ecommerce Intelligence and Personalization

Lead the transformation of TYR’s digital storefront into a personalized and intelligent shopping experience.

Develop and deploy recommendation engines that surface the right products to the right customers across the digital journey, including homepage, product pages, cart, and post-purchase interactions. Build AI-driven search and product discovery tools that improve findability and reduce friction in the purchasing process.

Design dynamic pricing and promotion models that optimize both margin and conversion, leveraging behavioral signals, purchase history, and inventory data.

Develop a unified customer intelligence platform that enables TYR to understand, predict, and influence customer behavior across the full lifecycle. These capabilities should drive improvements in conversion rates, average order value, customer retention, and lifetime value.

Marketing Intelligence and Growth Automation

Partner closely with TYR’s marketing leadership to elevate the effectiveness and precision of marketing efforts through AI.

Develop advanced customer segmentation models that move beyond demographic targeting to incorporate behavioral and predictive signals. These models will power more intelligent audience strategies across paid media, email, SMS, and social channels.

Implement generative AI solutions that support dynamic content creation, including personalized ad copy, email messaging, and product descriptions. Establish automated testing and optimization frameworks to continuously improve campaign performance.

Develop marketing mix and attribution models that enable real-time optimization of spend and improved return on ad investment. Build predictive models that support customer acquisition, retention, and churn prevention.

Sales Enablement and B2B Intelligence

Support TYR’s wholesale and B2B channels by developing AI-driven sales enablement tools. This includes predictive lead scoring, account health insights, and deal intelligence systems that help sales teams prioritize opportunities and strengthen relationships with key retail partners.

Technical Execution and Partnerships

Initially operate as a hands-on technical leader responsible for building and deploying AI solutions across TYR’s priority initiatives. Lead the full model lifecycle, including data ingestion, feature engineering, model development, deployment, and monitoring.

Act as TYR’s primary liaison with AI technology vendors and platform partners to ensure the company leverages best-in-class tools and infrastructure. As the AI roadmap expands, the Director will help define and grow the supporting team.

Responsible AI and Data Governance

Establish and maintain TYR’s framework for responsible AI and data governance. Ensure that models and data systems adhere to principles of fairness, transparency, and privacy while complying with relevant regulations including GDPR and CCPA. Monitor production systems to mitigate bias, protect data security, and maintain high standards for model performance and accountability.

Qualifications and Experience

• 10+ years of experience in data science, machine learning, or a related field with a strong record as a hands-on practitioner
• Proven experience deploying AI solutions in ecommerce, retail, or direct-to-consumer environments with measurable business impact
• Ability to operate at an executive level and communicate complex technical concepts clearly to senior leadership
• Strong understanding of ecommerce or consumer business models and the ability to connect AI initiatives directly to business outcomes
• Deep technical expertise in machine learning, data science, and AI systems architecture
• Demonstrated ability to influence cross-functional stakeholders and drive adoption of AI across an organization
• Experience leading or building technical teams is a plus
• Master’s or Ph.D. in Computer Science, Statistics, Engineering, or a related quantitative field preferred; MBA a plus

Granite delivers advanced communications and technology solutions to businesses and government agencies throughout the United States and Canada. We provide exceptional customized service with an emphasis on reliability and outstanding customer support and our customers include over 85 of the Fortune 100. Granite has over $1.85 Billion in revenue with more than 2,100 employees and is headquartered in Quincy, MA. Our mission is to be the leading telecommunications company wherever we offer services as well as provide an environment where the value of each individual is recognized and where each person has the opportunity to further their growth and achieve success.

Granite has been recognized by the Boston Business Journal as one of the "Healthiest Companies" in Massachusetts for the past 15 consecutive years.

Our offices have onsite fully equipped state of the art gyms for employees at zero cost.

Granite's philanthropy is unparalleled with over $300 million in donations to organizations such as Dana Farber Cancer Institute, The ALS Foundation and the Alzheimer's Association to name a few.

We have been consistently rated a "Fastest Growing Company" by Inc. Magazine.

Granite was named to Forbes List of America's Best Employers 2022, 2023 and 2024.

Granite was recently named One of Forbes Best Employers for Diversity.

Our company's insurance package includes health, dental, vision, life, disability coverage, 401K retirement with company match, childcare benefits, tuition assistance, and more.

If you are a highly motivated individual who wants to grow your career with a fast paced and progressive company, Granite has countless opportunities for you.

EOE/M/F/Vets/Disabled

Job Description

We are seeking a highly skilled and experienced Lead AI Engineer to join our dynamic team. The ideal candidate will excel at identifying and articulating complex business problems, and will develop innovative, scalable, and robust AI/ML solutions to address these challenges. Responsibilities will include designing, building, and deploying enterprise-grade AI systems, specifically focused on:

• 
  
• Agentic AI solutions to automate operational processes (e.g., interpreting trouble tickets, performing basic troubleshooting, interacting with online portals, data entry).
  
• Retrieval-Augmented Generation (RAG) and ColBERTv2 pipelines for parsing, indexing, and querying enterprise documents to facilitate answers related to process guidelines, product knowledge, and training materials.
  
• Function calling solutions leveraging Large Language Models (LLMs) to automate and perform precise actions in enterprise workflows.
  
• Developing and applying reinforcement learning strategies to optimize and automate decision-making processes within enterprise operations.
  

This role requires hands-on expertise with model fine-tuning, training pipelines, post-training optimization techniques (e.g., model distillation), classification models, and integrating AI systems within complex enterprise environments.

Duties and Responsibilities

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• Develop and implement AI solutions leveraging fine-tuned Large Language Models (e.g., OpenAI models, LLaMA, Mistral).
  
• Design, develop, and optimize Retrieval-Augmented Generation (RAG) pipelines using advanced vector databases (e.g., FAISS, Pinecone, Milvus).
  
• Build and enhance agentic AI systems utilizing frameworks like LangChain, AutoGPT, or similar automation frameworks.
  
• Deploy scalable ColBERTv2 architectures for semantic retrieval and classification.
  
• Create robust pre-processing and post-processing pipelines to enhance model performance, accuracy, and interpretability.
  
• Collaborate closely with cross-functional teams, including product managers, business stakeholders, data scientists, and software engineers.
  
• Implement best practices in model distillation, quantization, and optimization for deployment in production environments.
  
• Ensure compliance with enterprise-grade security, privacy standards, and data governance practices.
  
• Provide leadership and mentorship to team members, supporting their technical development and career growth through coaching, training, and performance feedback.
  
• Drive timely and successful completion of AI/ML projects by setting clear milestones, tracking progress, removing blockers, and aligning resources
  

Required Qualifications

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• Bachelor's degree in Computer Science, Data Science, Machine Learning, AI, or related fields; advanced degree strongly preferred.
  
• 5+ years of proven experience developing and deploying production-grade AI/ML systems.
  
• Strong programming skills in Python, familiarity with libraries/frameworks such as PyTorch, TensorFlow, Hugging Face, and LangChain.
  
• Demonstrated expertise with LLM fine-tuning (e.g., LoRA, PEFT), distillation, and model optimization.
  
• Practical experience implementing RAG pipelines with embedding technologies and vector stores (e.g., FAISS, Pinecone).
  
• Proven track record building agentic AI systems capable of interacting with multiple enterprise applications and platforms.
  
• Solid understanding of NLP techniques, Transformer architectures, semantic search, and document retrieval technologies (e.g., ColBERT).
  
• Hands-on experience with reinforcement learning techniques, including designing, training, and deploying reinforcement learning models.
  

Preferred Qualifications:

• 
  
• Master's or Ph.D. in Computer Science, Machine Learning, Artificial Intelligence, or related field.
  
• Familiarity with cloud-based AI services (e.g., AWS SageMaker, Azure ML, Google Vertex AI).
  
• Experience with containerization (Docker, Kubernetes) and deployment pipelines (CI/CD).
  
• Knowledge of advanced AI frameworks and model inference engines such as Triton Inference Server, TensorRT, and ONNX.
  
• Familiarity with model monitoring, observability tools, and techniques to ensure long-term reliability and performance.
  
• Strong communication and interpersonal skills with the ability to clearly articulate complex technical solutions to non-technical stakeholders.
  
• Experience in regulated industries or environments requiring strict compliance and data governance standards.