About the Role
- Serve as the principal AI technical advisor supporting AI education, workforce development, and mission-focused training initiatives. - Collaborate with IG Labs researchers and engineers to identify emerging AI technologies and translate them into workforce development opportunities. - Help define the skills, competencies, and certification standards required for an AI-ready workforce. - Guide the development of curriculum, labs, simulations, and practical exercises focused on real-world AI applications. - Provide technical leadership across topics including: Generative AI, Large Language Models (LLMs), Agentic AI, Machine Learning, Deep Learning, Data Science, AI Governance and Responsible AI, MLOps and AI Operations, Cybersecurity and AI. - Ensure training content remains aligned with current industry advancements, government AI strategies, and operational mission requirements. - Develop mission-relevant use cases demonstrating how AI can be applied to solve real-world challenges. - Support AI demonstrations, workshops, technical exchanges, and customer engagements. - Evaluate emerging technologies and provide recommendations regarding future workforce development and training priorities. - Contribute thought leadership supporting IntelliGenesis' AI strategy, innovation initiatives, and workforce transformation efforts.
Qualifications
- U.S. Citizen Active TS/SCI clearance with polygraph 10+ years of technical experience in artificial intelligence, machine learning, data science, advanced analytics, and/or related discipline Demonstrated experience applying AI technologies to operational, mission, research, or business challenges Deep understanding of Python software development 10+ years of technical experience in artificial intelligence, machine learning, data science, advanced analytics, and/or related discipline. Demonstrated experience applying AI technologies to operational, mission, research, or business challenges. Experience with large language models, retrieval augmented generation (RAG), agentic AI architectures, AI orchestration frameworks, or autonomous systems. Familiarity with Responsible AI, AI governance, and emerging federal AI policies. Strong understanding of modern AI methodologies, architectures, and workflows. Deep understanding of Python software development, including analysis of existing codebases and proficiency at writing Python tools. Understanding of software engineering principles and system design. Familiarity with applied machine learning domains (e.g., natural language processing, computer vision, autonomy, audio analysis).
Nice to Have
- Master's degree or PhD in Artificial Intelligence, Computer Science, Data Science, Engineering, Mathematics or related discipline Experience supporting Department of Defense, Intelligence Community, or Federal Government organizations Experience developing technical training, certifications, workshops, or workforce development programs Experience with containerization and virtualization architectures Published research, conference presentations, patents, or demonstrated contributions to AI innovation initiatives
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