Senior Artificial Intelligence Governance Architect
Quick Summary
Lead the design and operationalization of artificial intelligence (AI) governance program infrastructure including intake processes, use case review workflows, risk tiering criteria, escalation paths,
Lead the design and operationalization of artificial intelligence (AI) governance program infrastructure including intake processes, use case review workflows, risk tiering criteria, escalation paths,
The Boeing Company is currently seeking a Senior Artificial Intelligence Governance Architect to join the team in Seattle, WA; Mesa, AZ; Seal Beach, CA; Arlington, VA; Miami, FL; or North Charleston, SC.
We are seeking an Artificial Intelligence (AI) Governance Architect with a systems engineering or operational background to help architect and operate our Enterprise AI Governance program. This role is particularly well suited for someone who has built complex programs from the ground up and someone who understands how to define requirements, establish processes, coordinate across large organizations, and create repeatable, scalable frameworks.
Responsibilities
~2 min read- →
Lead the design and operationalization of artificial intelligence (AI) governance program infrastructure including intake processes, use case review workflows, risk tiering criteria, escalation paths, and approval frameworks
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Develop and release enterprise artificial intelligence (AI) policies, standards, and guidelines for responsible artificial intelligence (AI) use across all business units, ensuring they are practical, enforceable, and grounded in technical reality
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Conduct and coordinate artificial intelligence (AI) risk assessments across use cases and technologies, identifying risks, defining mitigation strategies, and tracking compliance actions through closure
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Evaluate artificial intelligence (AI) capabilities and vendor-supplied models, including generative artificial intelligence (AI) systems, for alignment with responsible artificial intelligence (AI) standards, identifying vulnerabilities and failure modes
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Monitor applicable legislation and regulatory guidance, including National Institute of Standards and Technology Artificial Intelligence Risk Management Framework (NIST AI RMF), Department of Defense Artificial Intelligence Ethics Principles (DoD AI Ethics Principles), European Union Artificial Intelligence Act (EU AI Act), and United States (U.S.) federal artificial intelligence policy, and develop organizational readiness assessments for new requirements
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Define documentation standards for artificial intelligence (AI) systems such as model cards, impact assessments, validation records, human oversight requirements, and ensure audit-readiness across the artificial intelligence (AI) portfolio
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Build and deliver artificial intelligence (AI) governance training and awareness materials for technical and non-technical stakeholders across the enterprise
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Collaborate with engineering, legal, compliance, cybersecurity, and business partners to integrate governance requirements into artificial intelligence (AI) program delivery processes
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Contribute to the development of enterprise artificial intelligence (AI) governance metrics, key performance indicators (KPI), and executive reporting on program maturity and risk posture
Requirements
~2 min read5+ years of experience in systems engineering, systems integration, and/or software engineering
5+ years of experience with program management, project management and/or business operations
3+ years of experience in Artificial Intelligence (AI) governance
5+ years of experience in performing risk assessments and risk management
5+ years of experience working in a cross functional environment with all levels in the business from individual contributors to executive leadership
3+ years of experience in design, requirements derivation and/or system architecture development and processes
Bachelor's degree or equivalent work or military experience
Current INCOSE systems engineering certification or equivalent professional credential
Experience with technical concepts related to AI/ML systems without necessarily being a model developer
Experience in aerospace, defense, or national security environments with familiarity with DoD acquisition, program oversight, or compliance processes
Experience with AI technologies: machine learning, deep learning, generative AI, and agentic systems at a conceptual and applied level
Experience with NIST AI RMF, ISO 42001, DoD AI Ethics Principles, EU AI Act, or equivalent governance frameworks
Experience using GRC platforms (ServiceNow, Archer, OneTrust, Credo AI or similar) to manage risk and compliance workflows
Experience with AI technology and a track record of staying current on emerging capabilities and their implications for complex organizations
Successful candidates for this job must satisfy the Company’s Conflict of Interest (COI) assessment process.
Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies.
What We Offer
~1 min readAt Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities.
The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work.
The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements.
Pay is based upon candidate experience and qualifications, as well as market and business considerations.
Summary pay range $144,500 – $209,300
Location & Eligibility
Listing Details
- Posted
- August 17, 2026
- First seen
- August 20, 2026
- Last seen
- August 20, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 49%
- Scored at
- August 20, 2026
Signal breakdown
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