Senior Principal AI Governance Engineer

RELOCATION ASSISTANCE:
No relocation assistance available

CLEARANCE REQUIRED FOR START:
No

CLEARANCE TYPE:
Secret

TRAVEL:
No

At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people’s lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation’s history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon.

We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work — and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they’re making history.

Northrop Grumman is seeking a Senior Principal AI Engineer to join theData & AI Governance & Strategy organization. This role will help design and operationalize the technology capabilities required to govern AI across the enterprise.

The Senior Principal AI Governance Engineer will sit at the intersection of AI development, data security, privacy, risk, compliance, and enterprise architecture. In this role, you will translate AI governance requirements into scalable technical controls, automation, and observability that can be embedded across AI capabilities and platforms.

You will report to the Manager, Data & AI Governance & Strategy and collaborate closely with Privacy, Legal, Cybersecurity, Global Supply Chain, and other governance bodies to ensure AI systems are designed, deployed, and operated in a safe, compliant, and responsible manner.

The primary location for this position is Falls Church, VA; alternative work locations/arrangements will be considered, including
100% virtual/remote, in accordance with business needs and management appro val.

• Design and implement technical capabilities that support theAI Governance Frameworkthroughout the AI lifecycle, from intake and registration through monitoring and observability.
• Translate AI policies, standards, and requirements into technical controlsandautomated governance workflows.
• Develop mechanisms and tooling to identify, register, classify, and assess AI use cases, and drive a common taxonomy for evaluation across the enterprise.
• Establish governance patterns for AI capabilities and developreusable governance componentsthat can be embedded into AI development and deployment pipelines.
• Automate and define standards for evidence collection and documentation to support governance, audit, and assurance needs.
• Design and implementtechnical guardrails and best practices for AI systems, including usage constraints, access patterns, and safeguards.
• Partner with Privacy, Legal, Cybersecurity, Global Supply Chain, and other governance bodiesto integrate existing enterprise controls into AI systems and workflows.
• Develop or scale capabilities that provideenterprise visibility into AI systems and their lifecycle, including the detection and management of Shadow AI.
• Implement mechanisms for ongoing monitoring and observabilityof AI systems rather than relying solely on point-in-time assessments.
• Contribute to the continuous improvement of AI governance practices, patterns, and tooling across the organization.

• Must have a Bachelor’s degree in Computer Science, Information Systems, Engineering, or related field with 8 years of relevant experience or a Master’s degree with 6 years of relevant experience.
• Experience designing, building, or integratingAI/ML systems or data-driven…