Senior Artificial Intelligence Advisor

Key Logic is seeking an experienced Senior Artificial Intelligence Advisor to guide artificial intelligence initiatives in support of the U.S. Department of Energy (DOE). This role will shape how AI enhances scientific discovery, accelerates R&D, modernizes operations, and strengthens mission impact across the complex. The ideal candidate combines deep expertise in AI/ML with consulting agility, business development skills, and the ability to envision "art of the possible" applications across scientific domains, advanced energy systems, digital engineering, and laboratory operations.

This position balances strategy, execution, technical leadership, and the development of new opportunities that mature into funded programs.

REQUIRED:
Experience supporting Energy Programs, DOE, National Laboratories, ARPA‑E, DoW, or NSF research programs.

Location:
Hybrid based in Pittsburgh, PA or Morgantown, WV. We will consider relocation.

Ideal Candidate Profile:

• Part strategist, part technologist, part business developer in the Energy or R&D sectors.
• A visionary who sees how AI will reshape the Lab's mission for the coming decade.
• A collaborative builder who assembles strong teams and partnerships.
• A trusted advisor to senior leaders.
• A hands‑on expert who can dive into technical discussions with top scientists.
• A mission‑driven innovator committed to advancing U.S. energy and scientific excellence.

Position Responsibilities:

• Advance AI Strategy and Vision
  • Develop and drive an AI strategy aligned with DOE mission priorities, scientific roadmaps, and future state operating models.
  • Identify high‑value AI applications across research, modeling, simulation, energy systems, materials discovery, cyber, facility operations, and mission support.
  • Translate emerging AI technologies (e.g., LLMs, multimodal models, agentic AI, scientific ML, HPC‑AI fusion) into actionable pathways that maximize value for the Lab.
• Shape and Deliver High‑Impact AI Initiatives
  • Lead multidisciplinary teams in designing and implementing AI solutions that improve insight generation, scientific productivity, model accuracy, operational efficiency, and decision support.
  • Integrate AI into existing Lab tools, platforms, and workflows to modernize and scale capabilities.
  • Guide technical design, architecture, and research direction for pilots, prototypes, and full‑scale solutions.
• Business Development and Opportunity Advancement
  • Identify, shape, and mature AI‑driven opportunities with DOE programs, other national laboratories, academia, and industry partners.
  • Lead the development of concepts, white papers, proposals, and partnership strategies.
  • Drive prioritization of AI investments based on Value, feasibility, mission impact, and risk.
  • Serve as a primary interface with DOE sponsors, advocating for the Lab's AI capabilities and securing new funding.
• Operationalize Responsible, Scalable AI
  • Establish governance, model risk management, data practices, and responsible AI frameworks tailored to DOE R&D.
  • Support Model Ops/MLOps implementation, ensuring transparency, reproducibility, and long‑term sustainability.
  • Champion ethical, secure, and compliant adoption of AI across scientific and operational environments.
• Team Leadership & Workforce Development
  • Build and lead high‑performing teams of AI scientists, engineers, domain experts, and analysts.
  • Mentor staff and grow a scalable internal AI capability that can support diverse mission needs.
  • Coordinate with technical and operational leaders to align talent, resources, and execution plans.
• Stakeholder Engagement & Thought Leadership
  • Represent the Lab in high‑level discussions with DOE leadership, inter‑laboratory AI working groups, academia, and industry collaborators.
  • Communicate complex AI topics to technical and non‑technical audiences.
  • Serve as a thought‑leader in emerging AI technologies relevant to scientific R&D, energy systems, digital twins, and operational excellence.

Position Requirements:

• U.S. Citizenship
• Bachelor's degree required;
  Master's or PhD in Computer/Data Science, Engineering/Applied Math, and/or Scientific Modeling preferred with demonstrated capabilities required in Physical/Fundamental Science.
• 5–10+ years'…