Gptzero Ai Detection Jobs in Usa
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Role:
The Technical Product Manager, Functional AI, will lead the definition and delivery of AI solutions that transform our core business functions, including Finance, HR, Legal, Marketing, and others. This role bridges functional expertise and technical execution—partnering with business leaders to identify opportunities, shaping requirements into scalable AI solutions, and ensuring adoption that delivers measurable value. The Technical Product Manager will collaborate closely with engineers and data teams to design, pilot, and scale solutions, while maintaining clear visibility into ROI and impact for leadership. Success in this role requires strong product management discipline, applied AI expertise, and the ability to translate complex technical concepts into business outcomes.
Responsibilities:
Product Management & Business Partnership:
- Lead discovery and scoping sessions with business stakeholders across corporate functions (Finance, HR, Marketing, etc.) to identify high-value AI opportunities.
- Build strong relationships with functional leaders to understand workflows, pain points, and success measures.
- Translate business requirements into clear technical requirements that guide design, engineering, and vendor evaluation.
- Drive user experience design by ensuring solutions are intuitive, accessible, and aligned with employee needs.
- Prepare clear documentation of requirements, workflows, and decision rationale to support transparent delivery.
- Lead Agile sprint planning, backlog grooming, and retrospectives to ensure timely and high-quality delivery of product features in collaboration with cross-functional teams.
AI Solution Design & Delivery Support:
- Partner with engineers to shape solution approaches, balancing build/buy/partner considerations.
- Contribute to solution architecture discussions, ensuring designs are scalable, secure, and compliant with standards.
- Collaborate closely with delivery teams to validate functionality against requirements, proactively evaluate feature effectiveness and accuracy, and resolve scope or design ambiguities to ensure product quality and alignment with user needs.
- Support testing, pilot deployment, and adoption efforts, incorporating user feedback into iterative improvements.
- Document and communicate lessons learned, value metrics, and impact stories to demonstrate business outcomes.
Value & Impact Measurement:
- Define success metrics and measurable outcomes for each AI initiative in partnership with business stakeholders.
- Work closely with the Data Analytics team to design and maintain value tracking reports and dashboards.
- Monitor adoption, efficiency gains, and ROI, and proactively identify areas for improvement.
- Present value realization updates to leadership, ensuring clear visibility into the business impact of AI solutions.
Qualifications:
- At least 5 years of experience in technical product management with a minimum of 2 years in AI-related products.
- Bachelor’s and Master’s in Computer Science, Physics, Engineering, or associated quantitative fields.
- Have proven experience and knowledge of corporate functions (Finance, HR, Legal, Marketing, etc.)
- Exceptional facilitation and communication skills—comfortable running discovery sessions, white-boarding with PMs, and demoing prototypes to senior leaders.
- Demonstrated product-management mindset: roadmap ownership, KPI definition, and budget/risk trade-off communication.
- Hands-on experience leading change initiatives and measuring adoption by teams.
- Strong analytical and problem-solving skills
- Excellent communication and collaboration skills
- Ability to articulate technical concepts to non-technical stakeholders
- Deep understanding of AI applications, tools, and methodologies
- Proven ability to apply AI/ML techniques (e.g., NLP, document intelligence, predictive modeling, generative AI) to solve business problems in corporate functions.
- Hands-on experience with modern AI/ML tools and platforms (e.g., OpenAI, Azure AI, AWS SageMaker, AWS Bedrock or similar).
- Familiarity with the latest trends in AI (e.g., agentic AI, multimodal models, RAG) and ability to evaluate their relevance for client use cases.
Generative AI Engineer/Agentic Engineer
You bring AI to life - one agent at a time. At BWE, we rely on you to build smart, adaptive systems that act on behalf of our teams, streamlining workflows and amplifying impact. As an Agentic Engineer, you turn complex business tasks into intelligent, automated solutions that drive efficiency across the enterprise. Your work helps us scale AI with confidence, creativity, and control.
Responsibilities:
- Design, build, and optimize autonomous or semi-autonomous AI workflows (agentic systems) using Microsoft Copilot, Power Automate, Copilot Studio, and third-party AI platforms.
- Translate complex business tasks into orchestrated, multi-step AI workflows that can act with minimal user input while maintaining accuracy and compliance standards.
- Develop and iterate intelligent assistants, copilots, and AI agents to automate business processes across origination, closing, servicing, and corporate functions.
- Collaborate with Business Partners and business units to test, refine, and scale agentic tools that drive measurable efficiency improvements and user adoption.
- Lead implementation of BWE's Scale Agentic AI initiative by identifying high-impact automation opportunities and deploying production-ready AI agents.
- Partner with AIOps Engineer to ensure agentic systems integrate properly with monitoring, governance, and optimization frameworks.
- Stay ahead of emerging agentic design patterns, orchestration technologies, and best practices while bringing forward innovative solutions to business challenges.
- Create reusable agentic templates and workflow patterns that enable citizen developers to build AI-powered automation within governance frameworks.
- Implement security and compliance controls for agentic systems ensuring adherence to financial services regulations and data privacy requirements.
- Research and experiment with innovative agentic AI technologies and platforms to enhance BWE's automation capabilities.
- Provide training and support to business users adopting agentic tools and automation workflows.
- Document agentic system architectures, decision logic, and operational procedures for knowledge transfer and maintenance.
Near-Term Deliverables:
- Build and deploy at least 3-5 production agentic systems that demonstrate significant business impact and operational efficiency gains.
- Establish agentic AI development framework including design patterns, testing methodologies, and deployment standards.
- Create a comprehensive library of reusable agentic components and workflow templates that accelerate automation deployment across business functions.
- Partner with Business Partners to identify and prioritize high-impact opportunities for agentic AI implementation with detailed business case analysis.
- Develop agentic system monitoring and optimization practices ensuring reliable performance, accuracy, and cost efficiency.
- Research and recommend emerging agentic AI platforms and technologies for potential adoption with hands-on evaluation and implementation guidance.
- Create citizen developer enablement materials including agentic workflow templates, training resources, and best practice guidelines.
- Establish agentic AI governance practices including approval workflows, risk assessment, and compliance validation procedures.
- Complete advanced training in agentic AI, workflow orchestration, or emerging automation technologies relevant to enterprise applications.
- Contribute to BWE's competitive advantage by pioneering innovative agentic use cases and automation strategies.
Minimum Qualifications:
- 5+ years of experience building AI-driven workflows, intelligent automation, or low-code/no-code solutions in enterprise environments.
- Hands-on experience with Microsoft Power Platform (Power Automate, Power Apps), Microsoft Copilot Studio, and Large Language Model (LLM) integration.
- Strong grasp of prompt engineering, conversation design, logic flows, and business process optimization techniques.
- Experience with API integration, data transformation, and system connectivity for workflow automation.
- Knowledge of agentic AI concepts including multi-step reasoning, tool usage, and autonomous decision-making systems.
- Understanding of business process design, user experience principles, and change management for automation adoption.
- Bachelor's degree in Computer Science, Engineering, Business Technology, or related field, or equivalent work experience.
- Creative, fast-moving builder with prototyping mindset and deep understanding of user needs and business workflows.
Preferred Qualifications:
- Experience with advanced agentic AI platforms and orchestration tools beyond Microsoft ecosystem.
- Knowledge of machine learning, natural language processing, and conversational AI development.
- Familiarity with enterprise integration patterns, API management, and cloud-native application development.
- Experience in CRE, financial services, or regulated industries with complex compliance and audit requirements.
- Understanding of AI governance, responsible AI deployment, and risk management for autonomous systems.
- Previous experience leading automation initiatives or digital transformation projects.
- Knowledge of emerging technologies including multi-modal AI, autonomous agents, and AI orchestration platforms.
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.
Generative AI Developer Location: Dallas TX/ Tampa FL/New Jersey
- Hybrid Fulltime/FTE Salary: Market Client: Bank Role Overview We are seeking an experienced Senior Generative AI Developer to design and implement cutting-edge AI solutions leveraging Retrieval-Augmented Generation (RAG) techniques.
The ideal candidate will have strong expertise in Python programming, FastAPI, and cloud platforms (AWS, Azure, or GCP).
This role requires a deep understanding of system architecture design, scalable APIs, and end-to-end AI solution development.
Key Responsibilities Architect and develop Generative AI applications using RAG frameworks for enterprise-scale solutions.
Design and implement robust system architectures for AI-driven platforms ensuring scalability, security, and performance.
Build and optimize APIs using FastAPI for seamless integration with AI models and data pipelines.
Collaborate with cross-functional teams to integrate AI solutions into existing systems and workflows.
Implement data ingestion, preprocessing, and retrieval mechanisms for large-scale knowledge bases.
Ensure compliance with best practices for cloud deployment (AWS, Azure, or GCP).
Conduct performance tuning and optimization of AI models and APIs.
Stay updated with the latest advancements in Generative AI, LLMs, and RAG methodologies.
Required Skills & Qualifications 8+ years of professional experience in software development and system design.
Strong proficiency in Python and experience with FastAPI for API development.
Hands-on experience with Generative AI frameworks and RAG architectures.
Solid understanding of system and architecture design principles for distributed applications.
Experience deploying solutions on any major cloud platform (AWS, Azure, GCP).
Familiarity with vector databases, embedding models, and retrieval pipelines.
Strong problem-solving skills and ability to work in a fast-paced environment.
Preferred Qualifications Experience with LLM fine-tuning, prompt engineering, and model evaluation.
Knowledge of containerization (Docker) and orchestration (Kubernetes).
Exposure to CI/CD pipelines and DevOps practices.
Email:
Location: Chicago, Akron, Arlington, Atlanta, Austin, Baltimore, Birmingham, Boca Raton, Boston, Buffalo, Charleston, Charlotte, Chattanooga, Chicago, Cincinnati, Cleveland, Columbia, Columbus, Dallas,Denver, Des Moines, Detroit, Edison, Fort Worth, Grand Rapids, Greenville, Hartford, Hoboken, Honolulu, Houston, Indianapolis, Irvine, Jacksonville, Kansas City, LA, Las Vegas, Louisville, McLean, Memphis, Miami, Milwaukee, Minneapolis, Nashville, New Orland, New York, Oklahoma, Orlando, Palo Alto, Philadelphia, Phoenix, Pittsburgh, Pleasanton, Portland, Providence, Raleigh, Richmond, Rochester, Rogers, Sacramento, Salt Lake City, San Antonio, San Diego, San Francisco, San Jose, Seattle, Secaucus, Stamford, St. Louis, Syracuse, Tallahassee, Tampa, Toledo, Tucson, Tulsa, Washington DC, Westlake village, Winston-Salem
At EY, we’re all in to shape your future with confidence.
We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world.
Consulting - Tech Consulting - FinTech – AI Finance - Senior Manager
Whole industries have been disrupted and transformed in recent years by changing technologies, advanced analytics and the need for better insight. EY is helping businesses realize the value they can gain from their IT investments. We deliver exceptional client service — providing advice on how technology, finance process efficiency and enterprise intelligence contribute to performance improvement, as well as how IT can act as a multiplying effect during major program transformations.
The opportunity
The AI Finance Senior Manager is a crucial role responsible for supporting the Finance Applications Data Lead in executing the overall data management strategy for finance applications. The successful candidate will leverage their deep expertise finance applications (planning, reporting, close/consolidation) coupled with deep skills in enterprise data management, data governance, data quality, master data management, Machine Learning, and Generative AI (Gen AI) to support key finance personas. One of the key responsibilities will focus on developing and implementing our “FDL consulting blueprint” service offering, with the goal of creating an industry agnostic data model which can be utilized as a starting point and be extended ensure data consistency and interoperability across finance applications. The successful candidate will work closely with the Data Lead and the Product Owner for the FDL to ensure that the FDL Blueprint is designed on a foundation of accurate, consistent, and reliable finance application data architecture, enabling informed decision-making.
Your key responsibilities
The AI Finance Senior Manager will work closely with finance, IT, and data science teams to support the effective management and utilization of finance application data, harnessing the power of Machine Learning, Gen AI, and Azure data technologies to drive innovation and business value through the development and implementation of the EY AI Finance solution offering.
As a Senior Manager, you will play a pivotal role in leading engagement delivery and managing client relationships. Your time will be spent across various responsibilities, including:
Leading the design and delivery of system architecture solutions in collaboration with technical teams.
Tailoring technology platforms to business processes, ensuring clients maximize their investment through effective use and continuous improvement.
Managing complex processes, solutions, and projects while maintaining a focus on quality and risk management.
Skills and attributes for success
Proven ability to manage and deliver complex solutions.
Fostering relationships with client personnel at appropriate levels. Consistently running and delivering quality client services. Driving high-quality work products within expected time frames and on budget.
Monitoring progress, managing risk and confirming that key stakeholders are kept informed about progress and expected outcomes.
Managing expectations of client service delivery.
Effectively managing and motivating client engagement teams with diverse skills and backgrounds. Providing constructive on- the- job feedback/coaching to team members.
Fostering an innovative and inclusive team-oriented work environment. Playing an active role in the counselling and mentoring of junior consultants within the organization.
Supporting Data Management Strategy Execution, including helping execute the overall data management strategy for finance applications
Defining data requirements, data architecture, and data models for finance applications, considering the potential of Machine Learning and Gen AI technologies
Leading the design and implementation of an extensible common information model for the FDL Blueprint
Developing and maintaining documentation, including data dictionaries, entity-relationship diagrams, and data lineage maps
Leading the development and implementation of our FDL Blueprint solution offering, ensuring scalability, performance, and security
Collaborating with data scientists and finance SMR’s across service lines to identify opportunities for applying Machine Learning and Gen AI techniques to finance applications/personas and extend the FDL
Supporting the establishment and maintenance of a robust data governance framework for the FDL
Staying current with the latest advancements in Machine Learning, Gen AI, Data Management and Azure technologies and identifying and implementing innovative solutions that drive efficiency, accuracy, and insights for finance applications
Ability to travel as required for client engagements and project needs.
To qualify for the role, you must have
Bachelor\'s degree in Finance, Accounting, Business, Computer Science
Minimum of seven years of progressive experience in Financial Planning & Analysis (FP&A), with demonstrated expertise in:
Strategic financial planning, budgeting, and forecasting processes
Financial modeling and scenario analysis
Variance analysis and management reporting
Cross-functional collaboration with business stakeholders
Strong proficiency with EPM (Enterprise Performance Management) platforms, including hands-on experience with solutions such as:
Anaplan (Certified Model Builder preferred)
Oracle EPM Cloud Suite (PBCS, ePBCS, FCCS)
Oracle Hyperion
OneStream, Tagetik, or similar platforms
Solid understanding of financial data architecture and governance, including:
Financial data modeling and dimensional design
Chart of accounts structuring and hierarchy management
Data quality standards and reconciliation processes
Master data management for finance applications
Knowledge of finance applications including financial modeling (PnL, Balance Sheet, Cash Flow)
Excellent communication, collaboration, and problem-solving skills
Ability to work effectively in a fast-paced, dynamic environment, supporting the adoption and implementation of emerging technologies
Strong business skills including relationship management, commercial awareness, and communication.
Strong analytical and problem solving skills as well as excellent oral and written communication skills
A willingness to travel to meet client needs.
Ideally, you’ll also have
Degree emphasis in Finance, Accounting, Economics, Business, Computer Science, MIS, or IT preferred
A strong ability to adapt to changing technology landscapes and stay ahead of industry trends.
Exceptional interpersonal skills to foster team collaboration and client trust.
A proactive approach to problem-solving and decision-making.
Experience in leading diverse teams in dynamic environments.
What we look for
We seek top performers with a blend of technical expertise and strategic business acumen. Candidates should be adaptive, proactive, and committed to driving innovative technology solutions that propel the business forward. Strong managerial skills and a continual desire to improve both technical and soft skills are essential to meet the evolving demands of the industry.
What we offer you
At EY, we’ll develop you with future-focused skills and equip you with world-class experiences. We’ll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn more .
We offer a comprehensive compensation and benefits package where you’ll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job in all geographic locations in the US is $171,600 to $392,100. The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $205,900 to $445,700. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options.
Join us in our team-led and leader-enabled hybrid model. Our expectation is for most people in external, client serving roles to work together in person 40-60% of the time over the course of an engagement, project or year.
Under our flexible vacation policy, you’ll decide how much vacation time you need based on your own personal circumstances. You’ll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being.
Are you ready to shape your future with confidence? Apply today.
EY accepts applications for this position on an on-going basis.
For those living in California, please click here for additional information.
EY focuses on high-ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities.
EY | Building a better working world
EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets.
Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.
EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.
EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law.
EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY’s Talent Shared Services Team (TSS) or email the TSS at
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Primary Skills: Prompt Engineering(Expert), AI automation (Advanced), AI agents (Expert), Supply chain (Intermediate), no code & low code (Proficient).
Contract Type: W2
Duration: 6 Months with possible extension
Location: Boston, MA ()
Pay Range: $50.00-$58.49 Per Hour
#LP
Job Summary:
This is a dynamic role for a Business Analyst III, focusing on translating supply chain use cases into automated workflows and AI agents using enterprise no-code/low-code platforms. The ideal candidate will design, build, and maintain AI-powered solutions to streamline processes within a $1.8B supply chain operation, working directly with supply chain teams to co-develop solutions and conduct user acceptance testing. Expectations include managing 5-8 projects concurrently with high autonomy, optimizing AI agent performance, and ensuring solution longevity through detailed documentation.
Key Responsibilities:
- Design and implement automated workflows and AI agents for supply chain tasks.
- Conduct iterative testing and user acceptance testing with supply chain teams.
- Configure workflow logic, decision trees, automation sequences, and integration points for AI functionality.
- Develop hybrid solutions integrating analytics dashboards with AI workflows for process automation.
- Document workflow configurations, prompt patterns, and decisions in detail for non-technical user maintenance.
- Expertise in prompt engineering and AI platform management
- Proficiency in no-code/low-code workflow automation tools
- Deep understanding of AI agent training, context windows, model limitations, and hallucination mitigation.
- Basic technical understanding (APIs, data structures, integrations)
Knowledge of supply chain operations (procurement, inventory management, logistics) is strongly preferred.
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Role: Principal AI Solution Architect
Location: Houston, TX, 77086 - Onsite
Duration: Long term Contract
Job Description:
Key Responsibilities:
- Partner with business and technical stakeholders to identify and implement agentic AI and machine learning solutions that improve decision making, workflows, and automation
- Design and implement cloud native AI architectures using Microsoft Azure services and established AI design patterns
- Collaborate with Data Scientists and other AI Engineers to transform prototypes into production ready, scalable solutions
- Build, deploy, and operate enterprise scale machine learning pipelines, emphasizing reliability, performance, and security
- Orchestrate and configure infrastructure that enables low latency, resilient AI workloads, leveraging infrastructure as code and automation
- Contribute to reusable accelerators, templates, and patterns that improve delivery speed and consistency across teams
- Support CI/CD, monitoring, and operational practices for AI and ML systems in production environments
Required Technical Skills:
- Strong experience with Microsoft Azure, including AI/ML services and cloud native architectures
- Hands on experience deploying and operating ML pipelines using Azure Machine Learning
- Proficiency in Python and modern software engineering practices
- Experience with automation and configuration management, including Ansible
- Solid understanding of MLOps, model lifecycle management, and CI/CD for AI systems
- Experience with containerization and orchestration technologies (e.g., Docker, Kubernetes)
- Working knowledge of security, identity, and access control in enterprise cloud environments
Preferred Skills:
- Experience with Microsoft Foundry
- Experience implementing or operating agentic AI systems
- Familiarity with data engineering tools such as Databricks, Spark, Azure Data Factory
- Experience integrating AI services (e.g., cognitive services, computer vision, unstructured data processing)
Experience Requirements:
- 5+ years of experience in software engineering, AI engineering, or machine learning engineering roles
- Proven experience delivering production AI or ML solutions in a cloud environment
- Experience collaborating with cross functional teams across data science, engineering, and architecture
Ways of Working:
- Ability to work independently as a contractor while integrating effectively with existing teams
- Strong communication skills, with the ability to explain complex technical concepts clearly
- Results oriented mindset with a focus on delivering business value quickly and reliably.
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.
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.
At Rite-Hite, your work makes an impact. As the global leader in loading dock and door equipment, we design and deliver solutions that keep our customers safe, secure, and productive. Here, you'll find innovation, stability, and the chance to grow your career as part of a team that's always looking ahead.
ESSENTIAL DUTIES AND RESPONSIBILITIES
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily.
- Design and build AI-powered applications using Large Language Models (LLMs) for enterprise use cases.
- Develop Retrieval-Augmented Generation (RAG) solutions using structured and unstructured enterprise data such as documents, manuals, tickets, ERP data, and knowledge bases.
- Build and orchestrate AI agents that can reason, plan, and interact with tools, APIs, and workflows.
- Implement guardrails for AI systems including prompt safety, data protection, hallucination mitigation, access control, and output validation.
- Work with multimodal AI models including text, image, and video use cases such as video analysis, summarization, and optimization.
- Integrate AI solutions with existing enterprise systems such as Salesforce, ERP platforms, data lakes, APIs, and internal applications.
- Partner with security and compliance teams to ensure responsible AI usage, data privacy, and governance.
- Prototype quickly, then harden solutions for production with monitoring, logging, evaluation, and performance optimization.
- Mentor and upskill existing developers on AI concepts, patterns, and best practices.
Required Skills & Experience
- 5+ year of full stack development experience.
- Strong software engineering background with experience building production-grade applications.
- Hands-on experience with modern LLM platforms such as OpenAI, Azure OpenAI, Anthropic, or similar.
- Practical experience building RAG pipelines using vector databases and embedding models.
- Experience with prompt engineering, prompt versioning, and evaluation techniques.
- Solid Python experience for AI development.
- Experience integrating AI services with REST APIs, microservices, and cloud-native architectures.
- Familiarity with cloud platforms such as AWS or Azure, including deployment, scaling, and security concepts.
- Understanding of data formats such as JSON, XML, and document-based data.
- Ability to translate business problems into AI-driven technical solutions.
Preferred Qualifications
- Experience with vector databases such as Pinecone, FAISS, Weaviate, or similar.
- Familiarity with frameworks such as LangChain, LlamaIndex, Semantic Kernel, or equivalent orchestration tools.
- Experience implementing AI safety controls, policy enforcement, and evaluation frameworks.
- Exposure to video or image models and multimodal AI use cases.
- Experience working in enterprise environments with security, compliance, and change management considerations.
- Prior experience mentoring or leading developers in new technical domains.
What We Offer
At Rite-Hite, we take care of our people - because when you're supported, you can do your best work. Our benefits are designed to support your health, your future and your life outside of work:
Health & Well-being: Comprehensive medical, dental, and vision coverage, plus life and disability insurance. A robust well-being program with an opportunity to receive an extra day off and more.
Financial Security: A strong retirement savings program with 401(k), company match, and profit sharing.
Time for You: Paid holidays, vacation time, and personal/sick days each year.
Join us and build a career where you're supported - at work and beyond.
Rite-Hite is proud to be an Equal Opportunity Employer. We consider all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic under federal, state, or local law.In accordance with VEVRAA, we are committed to providing equal employment opportunities for protected veterans.We are also committed to maintaining a drug-free workplace for the safety of our employees and customers.