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Programs Manager (AI Curriculum - HigherEd)
Salary not disclosed
Austin, TX 3 days ago

Join Our Mission to Bridge the Digital Divide - Through AI!


Position: Programs Manager (AI Curriculum - Higher Ed) - Austin, Texas (Hybrid or Remote)


Salary Range: USD 55,000 - 75,000 annually (with a 3-month probation)

Location: Preference for Austin, Texas; remote possible

Travel: Occasional travel required with reasonable notice and accommodations


About Us

Sustainable Living Lab USA (SLL LLC USA) is part of a global movement, HQ in Singapore, offices in India, Indonesia, Japan, and the USA, to make technology inclusive, accessible, and sustainable. We design and deliver innovative education programs that equip learners with essential digital and AI skills - from US community colleges to grassroots organizations worldwide.


About the Role

We’re seeking a dynamic, articulate, and adaptable Programs Manager (AI Curriculum for HigherEd)to support the global expansion and US localization of our AI education programs.

This role involves delivery, curriculum creation, and program development, ideal for someone confident in discussing AI with non-technical audiences, passionate about learning, and eager to influence AI upskilling’s future. You’ll lead technical Train-the-Trainer (TTT) sessions with professors from community colleges and universities both virtually and in-person helping them develop/integrate technical AI concepts as part of their certifications/degrees.


This role blends delivery, curriculum design, and program development, ideal for a flexible, self-motivated individual with a growth mindset who thrives in ambiguous environments, constantly finding solutions to new problems.


Key Responsibilities

1. AI Programs Training & Facilitation (TTT Model)

  • Lead virtual and in-person technical Train-the-Trainer (TTT) workshops across US, supporting partners in vocational education and workforce institutions worldwide.
  • Ensure participants understand the content and are equipped to customize it for local contexts and learner needs.
  • Develop and implement standardized training regimens and SOPs tailored for cross-cultural, regional, and state-wide implementation partners.
  • Translate core AI, ML, DL, and Python concepts into engaging, beginner-friendly lessons sensitive to language diversity and digital fluency levels - but also able to deliver technical concepts like Maths for AI, Data science, and Agentic AI topics in depth.
  • Conduct engaging and informative training sessions utilizing a standardized curriculum.


2. US Programme & Business Development (SMEs, Colleges, Universities, K12, communities)

  • Manage the continuity and expansion of SLL's US programs, particularly within its extensive network of 140+ community colleges and universities spanning 40+ states.
  • Work with the team to position SL2 as a leading partner in AI and emerging tech education for the US community college and vocational sector.
  • Scale educational programs with school districts, community colleges, and universities, focusing on out-of-school programs and boot camps.
  • Scale AI Community Engagements with clubs, societies, and foundations.
  • Identify and articulate compelling use-case stories for workforce development partnerships.
  • Support engagements with colleges, government agencies, and employers to co-develop bespoke AI education pathways.


3. Content Development and Productization

  • Collaborate with internal teams to evolve and update existing programs and co-create new offerings.
  • Lead the creation of slide decks, training decks, and other content as a core part of the role.
  • Contribute to productizing key experiential learning offerings such as hands-on coding challenges and platform-based simulated work experiences.
  • Help localize material for US-based institutions, aligning with skills frameworks and employer demand.
  • Co-deliver experiential coding/skilling events, ensuring the core product is designed for global scalability and is adaptable to various educational levels, including tailoring project focus for different competitions for community college and university students.


What We're Looking For

  • HigherEd/SME Training Experience: Minimum of 3 years in Higher Ed, training, or facilitation working with HigherEd/SMEs, including at least 2 years focused on technical or digital skills. Experience working across cultures and time zones is highly valued.
  • Tech & Learning Aptitude: Intermediate to high knowledge of Python and AI/ML/DL/Agentic AI/Maths for AI/Data concepts. Strong personal interest in the evolving AI landscape and comfort with explaining complex topics to beginners. Experience or enthusiasm for Vibe Coding, digital hackathons, or collaborative prototyping is a plus.
  • Communication & Facilitation: Fluent, clear-spoken English and strong public speaking skills. Able to adjust tone, pace, and clarity based on audience (e.g., teachers vs. college professors vs. workforce leaders). A strong presence on MS Teams/Zoom or in person - whether running a classroom session, hackathon, or partner presentation.
  • Mindset & Tools: Adaptable, self-motivated, and collaborative. Skilled in using tools like Zoom, Google Workspace, and Teams, and eager to learn new platforms and facilitation techniques.
  • Location & Eligibility: Preference for candidates based in Austin, TX, but open to strong remote applicants. Must be authorized to work in the US.


Why Join Us?

  • Make Global Impact: Empower teachers and workforce educators across continents to teach AI confidently and contextually.
  • Shape the Future of the US Workforce Skilling: Co-create impactful AI programmes for colleges and workforce partners across the US.
  • Creative & Collaborative Culture: Work with a mission-driven team that values experimentation, equity, and lifelong learning.
  • Featured Benefits: Medical insurance (100% employer contribution), 14 days annual leave, 14 days medical leave, and paternity and maternity leave. We request that the candidate to have their own device.


Ready to Apply?

Send your resume and a short, authentic cover letter to with the subject line: “Programs Manager (AI Curriculum) - U.S.” Please write authentically, and use AI tools with discernment.

Please include:

  • Your expected monthly salary in USD
  • Your current location and time zone
  • Your availability to start
  • Any accommodation requests (if applicable)


SLL LLC USA is an Equal Opportunity Employer. We celebrate diversity and are committed to building an inclusive workplace. If you need accommodations during the application process, please let us know.

Not Specified
AI Program Manager
Salary not disclosed
Milwaukee, WI 6 days ago

Job Summary
HellermannTyton North America (HT NA) is accelerating the use of Artificial Intelligence to unlock capacity, improve quality, and fuel growth across North America. As the AI Program Manager, you will build and run a program of AI initiatives that create efficiencies by automating repetitive tasks and removing process waste. You will partner with Operations, Sales, Marketing, IT, HR, and Finance to select the right problems, deliver measurable outcomes quickly, and scale wins across plant sites to increase revenue, reduce cost, and eliminate waste. This will be achieved while maintaining HellermannTyton's Quality and EHS certifications by supporting all corporate policies, procedures, work instructions, and required documentation.



What You'll Do



Opportunity Discovery





  • Conduct stakeholder interviews to capture business objectives and constraints; translate high-level goals into clear, actionable AI project requirements.

  • Build simple business cases with the respective departments; baseline current performance, and quantify benefits



Program Management





  • Work with Business Stakeholders to prioritize initiatives by value, impact, labor hour avoidance, and risk mitigation.

  • Prioritize AI program and project roadmap into short, iterative deliverables; prioritize delivery based on business impact and feasibility.

  • Run stage-gated delivery (scope pilot scale) aligned to HellermannTyton COE project governance; set decision forums, risk controls, and incremental results.

  • Work with Business and IT to develop data and IT infrastructure and tools to support AI program roadmap.



Delivery





  • Ensure ownership of agents and AI workflows are transitioned to business stakeholders within the business.

  • Engage with change management to ensure AI projects are accepted, and AI becomes integrated into processes such that AI becomes "the way we work."

  • Make value visible and auditable. Track and report on program benefit metrics such as savings, improved experience, reduced waste, efficiency improvements, etc.

  • Share AI knowledge to upskill the organization. Coach stakeholders to see AI use cases in the processes.



Governance





  • Partner with Legal/HR on data privacy and AI use policies.

  • Ensure solutions comply with IT corporate cybersecurity and risk guidelines.



Success in this role will require:





  • Collaboration & Communication

  • Adaptability

  • Problem Solving

  • Analytical Thinking

  • Business Acumen



What You'll Bring





  • Bachelor's degree in Project/Program Management, Engineering, Manufacturing, Computer Science, Data/Analytics, or related field.

  • 3+ years leading data/AI/automation programs with manufacturing operations; proven track record delivering hard dollar benefits and labor hour avoidance.

  • Mastery of program management (business cases, roadmaps, stage gates, financials).

  • Excellent stakeholder communication and leadership across Operations, Sales, Marketing, IT, HR, and Finance.



Preferred Qualifications





  • Background manufacturing or associated environments.

  • Lean / Six Sigma certification; experience embedding AI within continuous improvement programs.

  • Experience with AI Tools (MS CoPilot Studio, MS Fabric, MS Azure Foundry)



By applying for a position with HellermannTyton, you understand that should you be made an offer, it will be contingent on your undergoing and successfully completing a background check through the use of our 3rd party supplier. Background checks may include some or all of the following based on the nature of the position: SSN/SIN validation, education verification, employment verification, criminal check, driving history, and drug test. You will be notified during the hiring process of which checks are required by the position.

HellermannTyton Corporation is an Equal Opportunity Employer and does not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state or local protected class.



Not Specified
Lead AI Safety and Enablement Engineer
$147,000 - $250,000 per year
Help us change lives

At Exact Sciences, we’re helping change how the world prevents, detects and guides treatment for cancer. We give patients and clinicians the clarity needed to make confident decisions when they matter most. Join our team to find a purpose-driven career, an inclusive culture, and robust benefits to support your life while you’re working to help others.

Position Overview

The Lead AI Safety and Enablement Engineer ensures the safe, reliable and scalable use of AI and machine learning across Exact Sciences. This role focuses on developing and implementing systems, tools, and frameworks that embed responsible AI principles into the organization’s technology ecosystem. The position combines software engineering expertise with a strong understanding of AI risk management, compliance, and observability.

This role is based in one of our office location. Relocation assistance provided to those not local to the area and willing to relocate.

Essential Duties

Include, but are not limited to, the following:

- Support implementation of enterprise standards for AI safety, transparency, and reliability.
- Develop and maintain shared AI safety tools such as model catalogs, metadata registries, and monitoring systems for bias, drift, and performance.
- Build APIs, templates, and SDKs that integrate governance and validation into AI/ML development pipelines.
- Contribute to the design of observability and telemetry solutions for continuous monitoring of model and data quality.
- Collaborate with Legal, Privacy, Compliance, and InfoSec teams to translate AI policies into automated controls and technical safeguards.
- Work with ML and GenAI teams to embed validation and safety checkpoints in AI workflows.
- Participate in cross-functional reviews and discussions supporting AI governance and responsible AI practices.
- Promote awareness and adoption of responsible AI principles through tools, documentation, and knowledge sharing.
- Support and comply with the company’s Quality Management System policies and procedures.
- Uphold company mission and values through accountability, innovation, integrity, quality, and teamwork.
- Maintain regular and reliable attendance.
- Ability to act with an inclusion mindset and model these behaviors for the organization.

Minimum Qualifications

- Bachelor’s degree in Computer Science, Software Engineering, Artificial Intelligence, or a related field.
- 8 years of experience in software, ML systems, or platform engineering.
- Practical experience with AI lifecycle tools (e.g., MLflow, Arize, WhyLabs, Label Studio).
- Proficiency in Python, CI/CD processes, and cloud platforms (AWS, Azure, or GCP).
- Experience developing scalable and compliant ML systems and tools.
- Applicants must be currently authorized to work in country where work will be performed on a full or part-time basis. We are unable to sponsor or take over sponsorship of employment visas at this time.

Preferred Qualifications

- Master’s degree in Computer Science, Data Engineering, or AI.
- Experience implementing AI assurance, observability, or risk management frameworks.
- Knowledge of GenAI, LLM evaluation, and prompt safety practices.
- Familiarity with FDA, HIPAA, or GxP compliance standards.

#LI-CB1

Salary Range:

$184,000.00- $276,000.00

The annual base salary shown is for this position located in US - WI - Madison on a full-time basis and may differ by hiring location. In addition, this position is bonus eligible.

Exact Sciences is proud to offer an employee experience that includes paid time off (including days for vacation, holidays, volunteering, and personal time), paid leave for parents and caregivers, a retirement savings plan, wellness support, and health benefits including medical, prescription drug, dental, and vision coverage. Learn more about our benefits.

Our success relies on the experiences and perspectives of a diverse team, and Exact Sciences fosters a culture where all employees can develop personally and professionally with a sense of respect and belonging. If you require an accommodation, please contact us here.

Not ready to apply? Join our Talent Community to stay updated on the latest news and opportunities at Exact Sciences.

We are an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard to disability, protected veteran status, and any other status protected by applicable local, state, or federal law.

To view the Right to Work, E-Verify Employer, and Pay Transparency notices and Federal, Federal Contractor, and State employment law posters, visit our compliance hub. The documents summarize important details of the law and provide key points that you have a right to know.
permanent
Lead AI Engineer
Salary not disclosed
Quincy, MA 4 days ago

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



  • 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



  • 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.
Not Specified
AI Solutions Specialist
Salary not disclosed
Purchase, NY 3 days ago

Join the team leading the next evolution of virtual care.

At Teladoc Health, you are empowered to bring your true self to work while helping millions of people live their healthiest lives.

Here you will be part of a high-performance culture where colleagues embrace challenges, drive transformative solutions, and create opportunities for growth. Together, we're transforming how better health happens.

Summary of Position

The AI SolutionsSpecialistis responsible forpartnering with business and technology stakeholders to design, integrate, and deliver AIpowered conversational agents and workflow automation solutions across the enterprise. This roleleads tothe technical implementation of AI platforms and agent development tools, ensuring secure, scalable, and compliant solutions that drive productivity and business value.Deep coding expertise is notrequired. However, the candidate must understand modern technology stacks, AI concepts, and system integration terminology.The ideal candidate will thrive inan evolving,fast-changingenvironment,where AI capabilities and standards continue to mature.

Essential Duties and Responsibilities

  • Work closely with business stakeholders toidentifyautomation opportunities.
  • Lead the technical set up and integration ofconversational AI platform & agent development studiowithin the enterprise environment.- copilot agents preferred, deploying across enterprise not for personal use.
  • Analyze business processes, data flows, and system architectures to support AI solution design.
  • Support configuration and deployment of AI-powered agents,applications,and workflows.
  • Design,build,and customize AI agents to automate workflows and improve productivity.
  • Utilizedata platforms such asMicrosoft Fabric, Snowflake, Databricks, AWSfor data orchestration, governance, and compliance.
  • Ensure seamless interoperabilityof agentsacrossMicrosoft and other enterprise applications asrequired.
  • Evaluateand implement secure API integrationswith enterprise systems using APIsandconnectors to enable data exchange and workflow automation.
  • Apply best practices for data security, identity management, and compliance with organizational and regulatory standards.
  • Apply analytical judgment to assess feasibility, scalability, data readiness, and risks of AI use cases.
  • Collaborate withcybersecurityand product teams to build robust AI solutions
  • Test new AI agent enhancements, integrations, and fixes prior to release to ensure quality and expected behavior.
  • Track and analyze performance metrics, including response quality, speed, reliability, andcost-effectivenessof AI agents and automated workflows.
  • ContinuouslyoptimizeAI solutions based on performance data, user feedback, and evolving business needs.
  • Document requirements, solution designs, architecture diagrams, and integration approaches in a clear and concise manner.
  • Contribute to internal standards, reusable patterns, and best practices for AI agent and automation development.
  • Support knowledge sharing and enablement across technical and business teams.

Qualifications Expected for Position

  • Bachelor's degree in computer science, Information Systems, Engineering, Data Science, or a related fieldor equivalent combination of education and relevant professional experience.
  • Advanced certifications or coursework in cloud platforms, data engineering, or AI/ML preferred.
  • 3+years of experience in solution architecture, systems integration, automation engineering, or applied AI roles.
  • 1+ year demonstrated ability to design, build, and deployAI-poweredagents, workflows, or conversational applications.
  • Proven experience working directly with business stakeholders to translate operational needs into scalable technical solutions.
  • Hands-on experience implementing enterprise automation or conversational AI solutions across multiple departments or use cases.
  • Experienceoperatingin regulated orsecurity-consciousenvironments, supporting compliance and governance requirements.
  • Strong experience designing and implementing enterprise system integrations using APIs, connectors, and automation frameworks.
  • Experience working with modern data platforms (e.g.,Microsoft Fabric, Snowflake, Databricks, AWS) to support data orchestration, access control, and compliance.
  • Solid understanding of identity management, access controls, and data security best practices.
  • Ability to assess AI solution feasibility, including data readiness, scalability, performance, and cost considerations.
  • Strong analytical andproblem-solvingskills with the ability to apply sound judgment to ambiguous or emerging AI use cases.
  • Excellent written and verbal communication skills, with the ability to explain technical concepts to nontechnical audiences.

The base salary range for this position is$130,000 - $140,000. In addition to a base salary, this position is eligible for a performance bonus and benefits (subject to eligibility requirements) listed here: Teladoc Health Benefits 2026.Total compensation is based on several factors including, but not limited to, type of position, location, education level, work experience, and certifications.This information is applicable for all full-time positions.

We follow a Flexible Vacation Policy, intended for rest, relaxation, and personal time. All time off must be approved by your manager prior to use. You will also receive 80 hours of Paid Sick, Safe, and Caregiver Leave annually. This applies to full-time positions only. If you are applying for a part-time role, your recruiter can provide additional details.

As part of our hiring process, we verify identity and credentials, conduct interviews (live or video), and screen for fraud or misrepresentation. Applicants who falsify information will be disqualified.

Teladoc Health will not sponsor or transfer employment work visas for this position. Applicants must be currently authorized to work in the United States without the need for visa sponsorship now or in the future.

Why join Teladoc Health?

  • Teladoc Health is transforming how better health happens. Learn how when you join us in pursuit of our impactful mission.

  • Chart your career path with meaningful opportunities that empower you to grow, lead, and make a difference.

  • Join a multi-faceted community that celebrates each colleague's unique perspective and is focused on continually improving, each and every day.

  • Contribute to an innovative culture where fresh ideas are valued as we increase access to care in new ways.

  • Enjoy an inclusive benefits program centered around you and your family, with tailored programs that address your unique needs.

  • Explore candidate resources with tips and tricks from Teladoc Health recruiters and learn more about our company culture by exploring #TeamTeladocHealth on LinkedIn.

As an Equal Opportunity Employer, we never have and never will discriminate against any job candidate or employee due to age, race, religion, color, ethnicity, national origin, gender, gender identity/expression, sexual orientation, membership in an employee organization, medical condition, family history, genetic information, veteran status, marital status, parental status, or pregnancy). In our innovative and inclusive workplace, we prohibit discrimination and harassment of any kind.

Teladoc Health respects your privacy and is committed to maintaining the confidentiality and security of your personal information. In furtherance of your employment relationship with Teladoc Health, we collect personal information responsibly and in accordance with applicable data privacy laws, including but not limited to, the California Consumer Privacy Act (CCPA). Personal information is defined as: Any information or set of information relating to you, including (a) all information that identifies you or could reasonably be used to identify you, and (b) all information that any applicable law treats as personal information. Teladoc Health's Notice of Privacy Practices for U.S. Employees' Personal information is available at this link.

Not Specified
Lead Data Scientist, AI
Salary not disclosed
Atlanta, GA 2 days ago

Purpose


As a foundational member of our AI Center of Excellence, you will serve as the data science lead for enterprise AI initiatives, architecting and deploying AI solutions that make a meaningful impact across our national retail footprint. The Data Scientist Lead will work with other members of the AI COE and business leadership to identify and execute the highest-impact initiatives, own the data science lifecycle, from hypothesis and feature engineering to model validation and performance monitoring; bridging the gap between cutting-edge AI capabilities and practical business applications.

This role requires a rare blend of deep technical mastery and sharp business acumen, to translate complex data into actionable insights and intelligent systems that enhance customer experience, optimize commercial operations, and enable smarter decision-making at scale. The ideal candidate is passionate about retail innovation, thrives in ambiguity, and is energized by the opportunity to shape AI strategy from the ground up.



You’ll Be Successful With


  • Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field. Master's degree preferred.
  • 5+ years in Data Science or Applied AI roles, preferably in retail or a customer-facing industry.
  • Proven track record of moving models from development into production which deliver measurable impact to the business.
  • Expert proficiency in Python and SQL. Comfortable with version control.
  • Expertise in supervised/unsupervised learning and modern frameworks (e.g. scikit-learn, PyTorch, or TensorFlow).
  • Hands-on experience building with LLMs, RAG architectures, prompt engineering, or AI agent development.
  • Experience deploying and monitoring models at scale. Familiar with cloud data platforms (e.g. Databricks or Snowflake) and cloud infrastructure (Azure experience a plus).
  • You understand how to apply AI to commercial problems such as demand forecasting, customer- and associate- facing applications, personalization, labor optimization, etc.
  • The ability to translate "black box" model outputs into clear, actionable insights for business leadership.
  • Proven ability to communicate complex technical concepts to non-technical stakeholders and influence decision-making through data-driven storytelling.
  • Strong intellectual curiosity with a bias toward action and continuous improvement.
  • Demonstrated ability to work autonomously while collaborating effectively within cross-functional teams.


Your Day Consists Of


  • Buy vs Build leadership. Evaluate 3rd-party AI platforms and partnerships. Serve as the technical lead in vetting vendor methodologies, guiding the in-house vs external decisioning.
  • Partner with business leadership to identify high-value AI opportunities, defining technical specifications and success metrics that align with enterprise strategy.
  • Design, develop, and deploy custom machine learning models (impacting merchandising, commercial, labor, digital, etc.) within the Databricks environment.
  • Lead experimentation design, including A/B testing and causal inference, to validate model performance and measure true incremental business lift (ROI).
  • Collaborate with data engineers on feature development and with AI developers to wrap models into production-grade APIs and applications.
  • Partner closely with the Customer Insights team to ensure model outputs are optimized for consumption within Power BI/DAX, turning complex predictions into actionable insights.
  • Establish and enforce MLOps standards across the org, including model versioning, automated retraining, and drift monitoring.
  • Serve as the primary ML subject matter expert for the broader Data Science & Insights team. Provide active coaching to analytics leaders, empowering them to identify ML-applicable use cases and effectively incorporate predictive outputs into their own functional workstreams.
  • Contribute to the enterprise AI governance framework, ensuring ethical AI practices, data privacy compliance, and model transparency.
  • Present findings, recommendations, and project updates to leadership and cross-functional partners in clear, compelling formats.
  • Be compliant with all appropriate privacy and security protocols.



Working Conditions (travel, hours, environment)


  • Limited travel required including air and car travel
  • While performing the duties of this job, the employee is occasionally exposed to a warehouse environment and moving vehicles. The noise level in the work environment is typically quiet to moderate.



Physical/Sensory Requirements



Sedentary Work – Ability to exert 10 - 20 pounds of force occasionally, and/or negligible amount of force frequently to lift, carry, push, pull or otherwise move objects. Sedentary work involves sitting most of the time but may involve walking or standing for brief periods of time.



Benefits & Rewards


  • Bonus opportunities at every level
  • Non-traditional retail hours (we close at 7p!)
  • Career advancement opportunities
  • Relocation opportunities across the country
  • 401k with discretionary company match
  • Employee Stock Purchase Plan
  • Referral Bonus Program
  • 80 hrs. annualized paid vacation (full-time associates)
  • 4 paid holidays per year (full-time hourly store associates only)
  • 1 paid personal holiday of associate’s choice and Volunteer Time Off program
  • Medical, Dental, Vision, Life and other Insurance Plans (subject to eligibility criteria)


Equal Employment Opportunity



Floor & Decor provides equal employment opportunities to all associates and applicants without regard to age, race, color, religion or creed, national origin or ancestry, sex (including pregnancy), sexual orientation, gender, gender identity, disability, veteran status, genetic information, ethnicity, citizenship, or any other category protected by law.


This policy applies to all areas of employment, including recruitment, testing, screening, hiring, selection for training, upgrading, transfer, demotion, layoff, discipline, termination, compensation, benefits and all other privileges, terms and conditions of employment. This policy and the law prohibit employment discrimination against any associate or applicant on the basis of any legally protected status outlined above.

Not Specified
AI Innovation Architect
🏢 Indev
Salary not disclosed
Washington, DC 2 days ago

AI Innovation Architect


Location: Hybrid; Ashburn, VA; Springfield, VA; Washington, D.C.


Clearance: U.S. Citizen; Must have an active Top-Secret Clearance or DHS Public Trust Clearance.


InDev is seeking a senior strategic and technical AI Architect responsible for designing, building, and deploying artificial intelligence solutions that support mission outcomes across the homeland security market. In this role you will bridge advanced AI capabilities - including machine learning, natural language processing, and data engineering - with operational requirements, ensuring solutions are secure, scalable, and aligned with the homeland security mission.


YOUR FUTURE DUTIES AND RESPONSIBILITIES

  • Define overall system architecture, selecting and governing Artificial Intelligence / Machine Learning (AI/ML) and platform technologies, and ensuring solutions are scalable, secure, and production-ready
  • Lead end-to-end technical design, development, and implementation of an agentic AI system to orchestrate user queries across enterprise data sources
  • Partner closely with development, DevOps and data engineering teams to translate project requirements into an extensible AI architecture
  • Create and promote AI strategies that align with business objectives
  • Develop and coordinate POCs to test new technologies
  • Evaluate and select appropriate AI tools, frameworks, and platforms (i.e., AWS, Azure, Google) to drive innovation


QUALIFICATIONS

  • U.S. Citizen; Active Top-Secret Clearance or DHS Public Trust Clearance
  • 8+ years of experience delivering AI solutions across federal agencies
  • Bachelor’s degree in Computer Science, Engineering, or Data Science
  • Deep understanding of machine learning (ML), deep learning, Natural Language Processing (NLP), and neural networks
  • Experience with cloud platforms (AWS, Google Cloud, Azure) and container orchestration tools like Kubernetes and Docker
  • Ability to identify high-impact AI use cases and translate them into technical requirements
  • Experience designing, building, and deploying advanced AI systems including Generative AI, AI Agents, LLMs, Reinforcement Learning, and computer vision models
  • Ability to apply cloud and engineering expertise across AWS, GCP, Kubernetes, Docker, Terraform, Helm, Linux, and AI services, such as SageMaker, Vertex AI, Bedrock, or Gemini
  • Experience with Python, agent frameworks, data engineering, APIs/microservices, vector databases, SQL engines, distributed systems, cloud services, RAG
  • Experience developing and maintaining AI/ML roadmaps, performing Analysis of Alternatives, and making defensible technical tradeoff decisions
  • Experience leading multidisciplinary teams, including data scientists, engineers, and business stakeholders
  • Excellent written and oral communication skills
  • Ability to tailor and present information across multiple stakeholders


NICE TO HAVES

  • Experience integrating AI solutions with SaaS/PaaS platforms (e.g., ServiceNow, Salesforce, etc.)
  • Experience implementing virtual agents within SaaS/PaaS platforms (e.g., ServiceNow Virtual Agent, Salesforce Agentforce, etc.)
  • Experience with Google Gemini


ABOUT US

At InDev, we’re not just a company; we’re a trailblazing force transforming the way data shapes the future. As a dynamic player in the federal government sector, we’re on a mission to empower agencies with cutting-edge data solutions that drive innovation, efficiency, and progress. Our team thrives on collaboration, innovation, and embracing challenges head-on to create a meaningful impact on the world around us.


WHY INDEV

  • Innovative Environment: Join a team that thrives on creativity and innovation, where your ideas are not only heard but encouraged.
  • Meaningful Impact: Contribute to projects that directly impact federal agencies, driving positive change on a national scale.
  • Dynamic Collaboration: Work alongside diverse experts who are passionate about pushing boundaries and making a difference.
  • Agile Mindset: Embrace Agile methodologies that encourage flexibility, adaptability, and rapid growth.
  • Learning Culture: Enjoy ongoing learning opportunities and professional development to expand your skill set.
  • Cutting-edge Tech: Engage with the latest technologies and tools in the data integration landscape.


If you’re ready to embark on a journey of innovation, collaboration, and impact, InDev welcomes you to join our team. Let’s shape the future together.

Not Specified
Senior Full Stack AI and Data Engineer
✦ New
Salary not disclosed
Minneapolis, MN 1 hour ago

**Candidate must be willing to go into office 3 days a week**


Senior Full-Stack AI & Data Engineer – Contract


RBA is an established leader and trusted partner for enterprise and mid-size organizations seeking to transform their business through technology solutions. As a Digital and Technology consultancy, we combine strategic insight with technical expertise to deliver impactful, scalable solutions that align with business goals. We take pride in working with some of the most recognized companies in our market—while fostering a culture that blends challenging career opportunities with a collaborative, fun work environment.


We are seeking a Senior Full-Stack AI & Data Engineer to join our growing Data & AI practice, supporting a high-impact client. In this role, you will lead the design and development of end-to-end AI-powered applications that drive personalization, predictive analytics, and next-generation digital experiences.


You’ll partner with business stakeholders, product teams, and engineers to build production-grade AI solutions—from data pipelines and model development to APIs and user-facing applications. The ideal candidate brings deep expertise across the full stack, modern data platforms, and generative AI technologies, with a passion for solving complex business challenges through innovative solutions.


Responsibilities

  • Design and develop end-to-end AI-powered applications, including backend APIs and user-facing interfaces, to enable scalable and intuitive AI solutions.
  • Build and maintain robust APIs using technologies such as Node.js, NestJS, or FastAPI, and develop modern web applications using React or similar frameworks.
  • Develop, fine-tune, and deploy machine learning models using frameworks such as PyTorch and Scikit-learn.
  • Implement advanced generative AI solutions, including Retrieval-Augmented Generation (RAG) pipelines and multi-modal AI applications.
  • Design and build agentic AI systems using frameworks such as LangChain, enabling multi-step reasoning, tool use, and automation.
  • Architect and optimize end-to-end data pipelines (ETL/ELT) using Python, SQL, and orchestration tools such as Airflow.
  • Manage and integrate data workflows within Snowflake, leveraging technologies such as Snowpark or Cortex.
  • Implement monitoring and observability for AI systems, including tracking model performance, drift, latency, and reliability.
  • Design and deploy cloud-native solutions using Docker, Kubernetes, and CI/CD pipelines across AWS, Azure, or GCP.
  • Collaborate with business stakeholders to translate data into actionable insights and intelligent applications.
  • Contribute to DevOps best practices, including infrastructure-as-code (Terraform) and automated testing.
  • Mentor junior engineers and promote best practices in AI ethics, data governance, and code quality.


Requirements

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
  • 5+ years of experience across full-stack development, including backend (Node.js/Python) and frontend frameworks (React or similar).
  • Strong experience designing and building data pipelines and modern data platforms, including expertise in SQL and data modeling.
  • Proven experience deploying AI/ML solutions in production environments, including MLOps and model lifecycle management.
  • Hands-on experience with generative AI technologies, including LLMs, prompt engineering, and RAG architectures.
  • Experience with cloud platforms such as AWS, Azure, or GCP.
  • Strong understanding of DevOps practices, including CI/CD, containerization, and infrastructure-as-code (Terraform).
  • Excellent communication skills and ability to work effectively in client-facing environments.


Preferred Qualifications

  • Experience with Snowflake, including Snowpark, Cortex, or similar data platform capabilities.
  • Experience building agent-based AI systems or working with frameworks such as LangChain.
  • Familiarity with vector databases and semantic search architectures.
  • Experience developing mobile applications using React Native or Flutter.
  • Knowledge of mobile architecture, UI/UX principles, and API integration patterns.
  • Experience deploying applications to Apple App Store or Google Play Store.
  • Familiarity with security and authentication protocols, including OAuth2, biometric authentication, and secure data handling.
  • Cloud or data platform certifications (AWS, Azure, GCP, Snowflake, or similar).


Leadership & Culture

  • Demonstrate leadership through mentorship, technical guidance, and promoting engineering best practices.
  • Balance innovation with pragmatism—able to work across cutting-edge AI solutions and foundational data engineering tasks.
  • Thrive in a collaborative, fast-paced consulting environment with a strong focus on client impact and delivery excellence.
permanent
AI Strategist, Senior Director
✦ New
Salary not disclosed
Chicago, IL 1 hour ago

AI Strategist

Senior Director, Consulting & Delivery


Level & Department

The honest version of what's happening in enterprise AI in the middle market ($100M - $2B) right now is messy. Most organizations know they need to move. Very few have the leadership that can operate fluently at both ends of the problem… the C-suite conversation about investment rationale and the engineering conversation about whether the architecture can actually support what was just promised.


That gap is expensive and we've seen it in every sector we work in. It shows up the same way every time: smart strategy work that doesn't connect to anything deployable, or capable technical teams building things that never get funded or adopted.


The Principal AI Strategist role exists to close that gap on our most important engagements.


THE ROLE

What this position actually does

You are the senior-most strategy and delivery mind on a client engagement. You hold the intellectual and commercial thread across the entire lifecycle from the first diagnostic conversation through to a working AI system in production and the expansion that follows when the client realizes it's changing something real.


You are not the person who manages the team to do the thinking… you are responsible for the most strategic form of that thinking. You shape the strategy, challenge the architecture, own the executive relationship, and are personally accountable for whether the engagement creates measurable business value.


The title is Principal AI Strategist because that's the actual job. The level is Senior Director because that reflects the scope, accountability, and authority this role carries inside Quantum Rise and in front of clients.



OUR OPERATING PRINCIPLES

The intellectual framework you'll work inside

Quantum Rise operates from a set of principles we call Consulting 2.0. They define how engagements are structured, how we challenge client assumptions, and what we hold ourselves accountable to.


Think like an investor, not a technologist

AI value is relative to each client’s own goals / circumstances and capital is precious. We anchor every engagement to strategy → value streams → enterprise value. We don't start with use cases. We start with where the business makes and loses money, and work backward to where AI creates leverage.

  • Map to where the work actually happens: We go to L4–L5 process depth where the task-level execution that explains KPI performance and reveals where AI readiness actually exists.
  • Diagnose before prescribing: We use structured diagnostic lenses (process, data, systems) to move from visible symptoms to root causes.
  • Data reality bounds AI ambition: What AI can reliably do is determined by the strength of the data foundation (architecture, integration, quality, consumption) not by model choice.
  • Not all AI systems are created equal: Machine learning, LLMs, and agents introduce different capabilities, constraints, and operational trade-offs. Enterprise-ready agents specifically require probabilistic reasoning balanced with deterministic rules, structure, guardrails, and human oversight.
  • Risk is predictable: Enterprise AI risk falls into defined categories: data privacy, bias, explainability, and governance. Principles define what good looks like; governance establishes ownership, decision rights, and escalation.
  • Execution credibility matters as much as technical ambition: “Crawl”and MVP solutions that are in production beat “Run” enterprise-wide solutions that aren't.


RESPONSIBILITIES

What you own

Client strategy and delivery

  • Lead end-to-end engagement execution from strategy and diagnostic through deployment and commercial expansion
  • Run executive discovery sessions translating ambiguous business problems into structured AI investment rationales
  • Build the business case with the rigor of an investor, not the optimism of a vendor: quantified value, honest constraints, sequenced roadmap
  • Own the relationship with C-suite and senior client stakeholders as a peer, not a service provider

Technical leadership

  • Apply working fluency in LLMs, agentic workflows, RAG architecture, and data infrastructure to make real design decisions ensuring the original business value is obtained
  • Collaborate with engineering to challenge, refine, and pressure-test solutions against production realities
  • Define AI product roadmaps that are incrementally value generating, governed, measured, and adopted

Firm development

  • Identify capability and offering gaps where Quantum Rise can build durable competitive advantage
  • Build reusable delivery IP (frameworks, playbooks, diagnostic tools) that improve every engagement that follows
  • Develop and mentor the next generation of AI consultants on what it means to operate at the intersection of AI strategy and delivery
  • Contribute to business development through the quality of your work and the depth of your client relationships


THE PROFILE

Who fits here

person who thrives in this role has a particular combination that's genuinely rare and we'd rather name it honestly than let both sides waste time discovering the mismatch.


Dimension: What this looks like in practice

Role identity: You think of yourself as a strategist who builds things, not a consultant who advises on them.


Technical depth: Hands-on with LLMs and agentic coding. You've debugged a pipeline at some point and don't need to be reminded why hallucination is an enterprise risk.


Business fluency: You can translate AI capability into a CFO-ready investment case without losing the technical precision that makes it credible.


Delivery record: 12+ years in management consulting or technical advisory with real end-to-end accountability from scoping through go-live. You are hyper customer service oriented.


Sector context: You have meaningfully operated across 3 discrete sectors learning to how effectively understand how money is actually made, customer and demand dynamics, how work gets done, regulatory constraints, etc.


Education: Engineering, CS, or MIS undergraduate foundation. MBA preferred. The combination matters and what makes the translation instinct natural. What matters is the ability to translate value creation into technology and vice versa.


Working style: You reach for the AI tool first because it's genuinely how you think and not just because we’re an AI consultancy.


BENEFITS

What we offer

  • Competitive base salary + variable compensation tied to individual and company performance
  • Equity options
  • BCBS health, vision, and dental
  • 401(k) with discretionary annual match
  • FSA, DCA, commuter, and L&D stipends
  • Unlimited PTO + paid holidays + paid sick time
Not Specified
Account Executive (B2B SaaS, AI Solutions | Hybrid Atlanta / Remote US)
✦ New
Salary not disclosed

We’re hiring a B2B SaaS Account Executive to drive growth for our AI-powered solutions used by growing and enterprise businesses.


As an Account Executive at Commercient, you’ll own the full sales cycle for our AI automation and chatbot solutions, from prospecting and demos to closing complex B2B SaaS deals. You’ll work directly with customers to understand real business problems and translate cutting-edge AI—LLMs, intelligent automation, and ERP–CRM integrations—into practical, high-impact outcomes. This is a SaaS sales role for someone excited to sell sophisticated AI technology, engage senior stakeholders, and help shape the next generation of AI-driven sales motions.


At Commercient, you’ll own the full sales cycle, working directly with decision-makers to understand business challenges and position high-impact solutions that combine ERP, CRM, and AI capabilities.


Location: Atlanta (Hybrid)/US (remote)


What You’ll Do

As our Sales Representative, you’ll be on the front lines driving our growth:

  • Prospect, pitch, and close deals for our AI technology solution such as our chatbot
  • Build and nurture strong client relationships with Salesforce, HubSpot, Zoho, etc.
  • Represent Commercient at meetings, demos, and events across the US
  • Gather insights from the market to help shape our product and sales strategy
  • Hit and exceed sales targets while growing your career in a fast-moving company
  • Travel to several conferences per year in the US


Who You Are

  • Sales hunter with a passion for building relationships and closing deals
  • Energetic, ambitious, and motivated by results
  • AI enthusiast who likes to learn about AI and stays current with the trends
  • Comfortable meeting clients and thriving in a dynamic, less-structured environment
  • Bachelor’s degree or equivalent experience in Sales, Business Development, or related fields (optional if you have killer sales results!)
  • 3-7 years of experience in SaaS or AI solution sales (ERP, CRM, or automation experience strongly preferred)
  • Familiarity with Salesforce, HubSpot, or ERP ecosystems
  • Understanding of AI chatbots, RAG systems, or natural language interfaces (bonus if you can explain GPT, embeddings, or vector databases in plain English)
  • Consultative, high-EQ selling style with technical curiosity
  • Comfortable engaging at C-level and VP-level
  • Self-starter with strong pipeline discipline and storytelling ability
  • Excited about shaping a next-generation AI sales motion
  • Experience with any Chatbot or LLM tech stack: Google Gemini, Google AI Studio, Open AI, Liveperson, Drift chat, Microsoft Copilot, Agents, Agentforce, HubSpot AI, Support desk or Helpdesk AI assistants, Slack AI assistants, etc.
  • Comfortable working independently in a remote team environment
  • Applicants must have near-native English proficiency. A short written and verbal English evaluation will be part of the selection process.


Not for you if: you dislike rejection or ambitious goals.


Why Join Us?

  • Be a key player in our expansion — your impact is direct and visible
  • Work closely with founders and an international team
  • Learn and grow in a tech-driven, fast-moving environment
  • We have an engaging, collaborative culture focused on succeeding together


Compensation & Perks

  • Competitive base starting at $55k (based on experience) + commission — uncapped, performance-driven commissions per annual On Target Earnings (OTE)
  • Our compensation plan creates a space for you to be in control of what you make. The base is a great start, but uncapped commission is accessible your entire career with us (your base and commission will increase as you grow with the company).
  • Comprehensive Benefits Package
  • 401k program with generous company match
  • PTO
  • Hybrid role based in Atlanta, GA with fully remote option for US-based candidates


About Commercient

Commercient helps growing companies streamline Sales, Marketing, and Customer Service by seamlessly connecting ERP and CRM systems through our AI-driven integration platform. Over 50,000 users rely on Commercient SYNC daily to automate key business processes—sales, billing, invoicing, and payments—across top CRMs like Salesforce, HubSpot, and Microsoft Dynamics. We’re an innovative, global SaaS company with 20+ years of experience and customers in 1,000+ organizations worldwide.


Why Work With Us

  • Work remotely with a diverse, supportive, and fun global team
  • Be part of an innovative company that embraces cutting-edge technology
  • Enjoy learning and development opportunities to grow your career
  • Flexible work-life balance and an environment where ideas thrive


Ready to join an innovative team building the world’s leading ERP–CRM integration platform? Apply today and grow your career with Commercient.


Remote working/work at home options are available for this role.
Not Specified
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