S
Shield AIvia Lever
Director of AI Operations & Governance (R5464)
REMOTEPosted 2d ago
OtherExecutiveFull-time#ai-lab
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About the Role
Job Description:
Shield AI is seeking a Director of AI Operations & Governance to operationalize and govern our workplace AI ecosystem across all AI initiatives. Reporting to the VP of Workplace AI, this role will own license and platform operations, AI governance, security posture, and ongoing lifecycle management of AI tools that support Shield AI's business functions. The role will be the central owner of "post–dev-ops" for AI, ensuring systems are reliable, compliant, secure, and continuously improving in line with production usage and business needs, while building and leading the team responsible for AI sustainment.
This role requires significant hands-on technical capability across the machine learning and generative AI lifecycle — not just program oversight. The Director must be able to credibly evaluate, tune, and troubleshoot models and AI systems at a technical level in order to govern them effectively, partner with engineering, and make sound tradeoffs between reliability, performance, cost, and risk.
Shield AI is seeking a Director of AI Operations & Governance to operationalize and govern our workplace AI ecosystem across all AI initiatives. Reporting to the VP of Workplace AI, this role will own license and platform operations, AI governance, security posture, and ongoing lifecycle management of AI tools that support Shield AI's business functions. The role will be the central owner of "post–dev-ops" for AI, ensuring systems are reliable, compliant, secure, and continuously improving in line with production usage and business needs, while building and leading the team responsible for AI sustainment.
This role requires significant hands-on technical capability across the machine learning and generative AI lifecycle — not just program oversight. The Director must be able to credibly evaluate, tune, and troubleshoot models and AI systems at a technical level in order to govern them effectively, partner with engineering, and make sound tradeoffs between reliability, performance, cost, and risk.
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