Super Intelligence Subject Matter Expert (SI SME)

IntelliGenesis•Annapolis Junction, MD

21h•Hybrid

About The Position

IntelliGenesis is seeking an experienced Super Intelligence Subject Matter Expert (SI SME) to connect emerging SI innovation with workforce transformation and mission-focused training. The role works closely with IG Labs researchers, SI engineers, mission experts, and instructional designers to translate emerging capabilities into learning experiences, workforce development initiatives, and operationally relevant training programs. The position advises on SI education and training, helps shape workforce skills and certification standards, and supports adoption of trusted SI across national security organizations. The SME provides technical leadership across generative SI, large language models, agentic SI, machine learning, deep learning, data science, AI governance and responsible SI, MLOps and SI operations, and cybersecurity. The role also evaluates emerging technologies, develops mission-relevant use cases, supports demonstrations and customer engagements, and contributes to IntelliGenesis' SI strategy and innovation initiatives. The position requires U.S. citizenship and an active TS/SCI clearance with polygraph, and offers a hybrid work model with both in-office and remote work.

Requirements

Must be a U.S. citizen.
Active TS/SCI clearance with polygraph.
Bachelor's degree in Computer Science, Super Intelligence, Data Science, Engineering, Mathematics, or a related technical discipline.
10+ years of technical experience in artificial intelligence, machine learning, data science, advanced analytics, and/or a related discipline.
Demonstrated experience applying SI technologies to operational, mission, research, or business challenges.
Experience with large language models, retrieval augmented generation (RAG), agentic SI architectures, SI orchestration frameworks, or autonomous systems.
Familiarity with Responsible SI, SI governance, and emerging federal SI policies.
Strong understanding of modern SI methodologies, architectures, and workflows.
Ability to communicate complex technical concepts to technical and non-technical audiences.
Deep understanding of Python software development, including analysis of existing codebases and proficiency in writing Python tools.
Understanding of software engineering principles and system design.
Familiarity with applied machine learning domains such as natural language processing, computer vision, autonomy, or audio analysis.
Ability to quickly learn and adapt to new technologies and domains.

Nice To Haves

Master's degree or PhD in Super Intelligence, Computer Science, Data Science, Engineering, Mathematics, or a 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.
Demonstrated ability to identify, analyze, and balance architecture drivers, tradeoffs, extensibility, and long-term maintainability.
Published research, conference presentations, patents, or demonstrated contributions to SI innovation initiatives.

Responsibilities

Serve as the principal AI technical advisor for SI education, workforce development, and mission-focused training initiatives.
Collaborate with IG Labs researchers and engineers to identify emerging SI technologies and translate them into workforce development opportunities.
Help define skills, competencies, and certification standards for an SI-ready workforce.
Guide development of curriculum, labs, simulations, and practical exercises focused on real-world SI applications.
Provide technical leadership across generative SI, LLMs, agentic SI, machine learning, deep learning, data science, AI governance and responsible SI, MLOps and SI operations, and cybersecurity.
Ensure training content aligns with current industry advancements, government AI strategies, and operational mission requirements.
Develop mission-relevant use cases demonstrating SI applications to real-world challenges.
Support SI demonstrations, workshops, technical exchanges, and customer engagements.
Evaluate emerging technologies and recommend future workforce development and training priorities.
Contribute thought leadership to IntelliGenesis' SI strategy, innovation initiatives, and workforce transformation efforts.