SME AI Governance Specialist

Responsibilities

• Develop and maintain AI governance frameworks ensuring compliance with ethical, legal, and organizational standards.
• Conduct risk assessments to identify potential harms, biases, or compliance gaps in AI models and workflows.
• Collaborate with engineering, legal, and mission teams to ensure AI solutions align with governance policies.
• Prepare, maintain, and execute a System Engineering Plan (SEP) for managing systems architecture and engineering aspects.
• Design, document, and maintain APIs and technical standards for the system.
• Build and maintain services to make production-ready AI/ML models accessible for customer use.
• Perform site reliability engineering to maintain a reliable, scalable, and efficient system.
• Participate in the Engineering Control Board (ECB) process to support major engineering milestones.

Requirements

• Active Top Secret (TS) clearance with SCI eligibility.
• Bachelor's degree in a technical discipline (Computer Science, Data Science, AI, Engineering, etc.) plus 12–15 years of relevant experience, OR a Master's degree plus 10–13 years of relevant experience.
• Minimum of 8 years of experience in systems engineering, AI governance, or data governance.
• Experience implementing AI/ML governance or responsible AI frameworks in enterprise environments.
• Proficiency in cloud-native environments (AWS, Azure, or GCP).
• Knowledge of LLMs and agent frameworks (e.g., LangChain, LangGraph, CrewAI, AutoGen).
• Experience with vector databases (e.g., Pinecone, Weaviate, FAISS).
• Familiarity with containerization and virtualization (e.g., Docker, Kubernetes, VMware).

Preferred Qualifications

• SAFe Agilist (SA) or related SAFe certification.
• Experience operating within large-scale Agile frameworks supporting enterprise DoD systems.
• Familiarity with NIST security controls and Zero Trust compliance.
• Experience designing safety guardrails and bias-mitigation strategies for autonomous agents.
• Experience with AI service integration such as Azure OpenAI, Bedrock, or GCP Vertex AI.
• Hands-on GPU programming experience using CUDA, PyTorch, or TensorFlow.

Benefits

• Competitive compensation.
• Health and Wellness programs.
• Income Protection.
• Paid Leave and Retirement.

About the Company

Leidos is an industry and technology leader serving government and commercial customers with smarter, more efficient digital and mission innovations. Headquartered in Reston, Virginia, Leidos employs 47,000 global employees dedicated to solving complex challenges through advanced technology.