[Hiring] AI Governance Engineer @RTX

Role Description

The following position is to join our RTX Enterprise Services team:

RTX’s Enterprise Services Data (ES-Data) group is seeking a Responsible AI Engineer to support RTX’s focus on Responsible AI policy implementation as part of our enterprise-wide AI Governance initiative. This individual will support the RTX AI Governance team within ES-Data and partner with colleagues across RTX businesses to build, own, and scale AI governance capabilities. The role will focus on:

• Configuration of AI governance platforms
• Automation and integration with enterprise systems
• Reporting and data quality
• Vendor coordination
• Adoption/enablement
• Operationalization of policy controls

The Enterprise AI Governance Responsible AI Engineer will play a key role in:

• Designing, configuring, and maintaining governance workflows
• Evidence capture and integrations across our AI/ML ecosystem
• Ensuring repeatable, auditable, and scalable controls for responsible AI

This position offers the opportunity to work with leading AI governance platforms and tools such as One Trust, Archer, WatsonX while contributing to critical enterprise-wide initiatives.

What You Will Do:

• Configure and maintain enterprise AI governance capabilities, standardizing workflows, controls, and evidence practices.
• Design and maintain scalable integrations between AI governance capabilities and core enterprise systems.
• Establish standardized data exchange and event-driven patterns that automate assessments, approvals, evidence capture, and reporting.
• Enable governance metrics, analytics, and automated reporting processes.
• Implement data quality and traceability practices to ensure accuracy, consistency, and audit readiness.
• Translate Responsible AI, privacy, and security policies into operational controls.
• Maintain a central control library and supporting artifacts in partnership with compliance stakeholders.
• Develop enablement materials, training, and onboarding guides.
• Provide hands-on support and office hours to drive adherence to governance workflows.
• Coordinate with platform vendors for configuration guidance and support.

Qualifications

• Bachelor’s degree in STEM or a related field, and a minimum of 8 years of relevant experience or an advanced degree with a minimum of 5 years of relevant experience.
• Experience architecting integrations and orchestrating automations using standardized patterns.
• Experience with One Trust - designing and configuring governance workflows and evidence management.
• Experience with reporting, including metrics design and automated reporting processes.
• Experience with Responsible AI and governance frameworks and regulatory trends.
• Experience operating with minimal oversight and managing moderately sized projects.
• Experience communicating with and influencing cross-functional teams.

Requirements

• Hands-on experience with Archer or WatsonX AI Governance platforms.
• Certifications such as AIGP, CIPP or CIPM or Responsible AI training.
• Ability to translate Responsible AI frameworks into operational controls and measurable metrics.
• MLOps literacy, including model lifecycle concepts and dataset governance.

Benefits

• Robust total rewards package with compensation.
• Healthcare, wellness, retirement, and work/life benefits.
• Career development and recognition programs.
• Parental (including paternal) leave.
• Flexible work schedules.
• Achievement awards.
• Educational assistance and child/adult backup care.