Yesterday
Top Secret/SCI
Senior Level Career (10+ yrs experience)
Occasional travel
IT - Software
Washingtn, DC (On-Site/Office)
Position Summary: Leads the implementation of Responsible AI (RAI) frameworks and practices across AI/ML systems, ensuring ethical AI deployment, bias mitigation, and compliance with emerging AI governance standards. Opportunity to work on real-world projects that directly impact warfighter capabilities and mission success.
Key Responsibilities:
• Design and implement RAI frameworks for bias detection, fairness, and explainability
• Develop automated testing pipelines for AI model validation and monitoring
• Create governance processes for AI model lifecycle management
• Implement model interpretability and explainability solutions
• Establish metrics and monitoring systems for RAI compliance
• Lead cross-functional teams in RAI best practices adoption
• Develop training materials and documentation for RAI implementation
• Collaborate with legal and compliance teams on AI regulatory requirements
Qualifications:
• 10+ years of experience in AI/ML engineering with focus on responsible AI practices
• Active TS/SCI clearance with ability to obtain CI Polygraph
• Advanced degree in Computer Science, Data Science, or related field preferred
• Expertise in fairness metrics, bias detection, and model interpretability techniques
• Experience with RAI frameworks (Fairlearn, AI Fairness 360, What-If Tool, etc.)
• Strong understanding of AI ethics, governance, and regulatory landscape
• Proven track record of leading technical implementations and cross-functional initiatives
• AWS experience highly preferred but not required
• Military experience strongly preferred
Key Responsibilities:
• Design and implement RAI frameworks for bias detection, fairness, and explainability
• Develop automated testing pipelines for AI model validation and monitoring
• Create governance processes for AI model lifecycle management
• Implement model interpretability and explainability solutions
• Establish metrics and monitoring systems for RAI compliance
• Lead cross-functional teams in RAI best practices adoption
• Develop training materials and documentation for RAI implementation
• Collaborate with legal and compliance teams on AI regulatory requirements
Qualifications:
• 10+ years of experience in AI/ML engineering with focus on responsible AI practices
• Active TS/SCI clearance with ability to obtain CI Polygraph
• Advanced degree in Computer Science, Data Science, or related field preferred
• Expertise in fairness metrics, bias detection, and model interpretability techniques
• Experience with RAI frameworks (Fairlearn, AI Fairness 360, What-If Tool, etc.)
• Strong understanding of AI ethics, governance, and regulatory landscape
• Proven track record of leading technical implementations and cross-functional initiatives
• AWS experience highly preferred but not required
• Military experience strongly preferred
group id: 91165268