AI Technical Lead
Listed on 2026-10-04
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IT/Tech
AI Engineer (Applied/Software), Machine Learning/ ML Engineer
ETAS Inc. has upcoming opportunity for AI Technical Lead (Direct Hire) positions at our offices in Lexington, KY.
Enterprise Technical Assistance Services, Inc. (ETAS), is a wholly owned subsidiary of Professional Project Services, Inc (Pro2
Serve). E-TAS was formed and dedicated to support the Department of Energy (DOE) Portsmouth/Paducah Project Office (PPPO) with technical and management services contributing to the safe and cost effective implementation of the “One PPPO” mission.
The parent company, Pro2
Serve, is a nationally recognized environmental, technical, and engineering services firm dedicated to providing critical environmental management services to reduce the Nation’s environmental liabilities and infrastructure engineering services in support of our Nation’s security. We support the energy, defense, and science markets through responsive, cost-effective execution of critical environmental, facilities and infrastructure, and nuclear defense and nonproliferation projects.
Job Description
The AI Technical Lead is responsible for leading architecture, development, and implementation of secure, enterprise grade artificial intelligence and machine learning solutions.
This position will serve as the technical lead for AI initiatives, with a particular focus on developing protected on-premises AI capabilities, from infrastructure and hardware through AI models, large language models (LLMs), applications and production deployment.
The ideal candidate combines vast hands-on AI/ML engineering experience with strong software architecture and technical leadership skills. The candidate should be comfortable defining AI architecture, building and evaluating prototypes from development through production implementation phases.
Job Requirements
Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related technical field and 10+ years of relevant professional experience; OR Master's in Computer Science, Artificial Intelligence, Machine Learning, or a related technical field and 8+ years of relevant professional experience.
Technical Requirements
- Architect and oversee the development of scalable AI/ML and generative AI systems ensuring best practices in software engineering, security and AI ethics.
- Drive the adoption of AI technologies across the organization, collaborating with cross-functional teams to identify and implement AI-driven solutions.
- Design and implement secure, on-premises protected AI solutions spanning from infrastructure, model hosting, LLMs, APIs and supporting services.
- Design and implement end-to-end machine learning pipelines, including data ingestion, model deployment, monitoring and continuous improvement.
- Establish and enforce best practices for AI development, including version control, testing, and documentation.
- Demonstrated experience evaluating, prototyping, deploying, and operationalizing AI-enabled solutions, including generative AI, copilots, AI agents, intelligent automation, embedded application intelligence, or AI-enabled business workflows.
- Establish technical guardrails and standards for AI solutions, including documentation, testing, model validation, security, privacy and responsible AI practices.
- Collaborate with stakeholders, business teams, cybersecurity, and operations to identify high value AI use cases and translate business requirements into technical solutions.
- Oversee the integration of AI models into production environments, ensuring seamless deployment and optimal performance.
- Implement and maintain robust MLOps practices to streamline the AI development lifecycle.
- Stay abreast of the latest advancements in AI/ML technologies and evaluate their potential application for our clients.
- Ensure compliance with data privacy…
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