AI Governance Platform and Automations Engineer

RTX, the world's largest aerospace and defense company, is seeking an AI Governance Platform and Automations Engineer to support its Responsible AI policy implementation as part of an enterprise-wide AI Governance initiative. The role involves configuring AI governance platforms, automating integrations with enterprise systems, and ensuring data quality and compliance across the organization.

Responsibilities:

• Configure and maintain enterprise AI governance capabilities, standardizing workflows, controls, and evidence practices to ensure consistent execution across teams and business units
• 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. Continuously reduce manual effort and improve repeatability, reliability, and audit readiness
• 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 embedded in processes and platform configurations. 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 and continuous improvement in execution
• Coordinate with platform vendors for configuration guidance, support, and capability enablement. Evaluate functionality against enterprise requirements to keep solutions vendor-neutral and outcomes-focused

Requirements:

• 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
• Proficiency architecting integrations and orchestrating automations using standardized patterns that streamline governance processes
• Hands-on experience with One Trust - designing and configuring governance workflows and evidence management in enterprise environments
• Strong data and reporting skills, including metrics design, automated reporting processes, and data quality and traceability practices
• Working knowledge of Responsible AI and governance frameworks and regulatory trends
• Demonstrated ability to operate with minimal oversight, manage moderately sized projects or processes, and coach or delegate work to lower-level professionals
• Excellent communication and cross-functional influence skills across Legal, Compliance, Security, Data and AI, and Business stakeholders, with a track record of solving complex cross-departmental problems
• 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, measurable metrics, and audit‑ready artifacts
• MLOps literacy, including model lifecycle concepts, model monitoring, drift detection, lineage, and dataset governance