About the role
RELOCATION ASSISTANCE: No relocation assistance availableCLEARANCE REQUIRED FOR START: NoCLEARANCE TYPE: SecretTRAVEL: No Description
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 the Data & AI Governance & Strategy organization. This role will help design and operationalize the technology capabilities required to govern AI across the enterprise.
Role Overview
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.
Responsibilities include, but are not limited to
Design and implement technical capabilities that support the AI Governance Framework throughout the AI lifecycle, from intake and registr…
