AI Governance Platform and Automations Engineer
RTX Corporation24 hours ago
Remote, United StatesSenior
Base Salary
$108k - $205k/yr
Responsibilities
- Configure and maintain enterprise AI governance workflows, controls, evidence practices, and platform capabilities.
- Design and maintain scalable integrations and standardized data exchange and event-driven automation patterns for assessments, approvals, evidence capture, and reporting.
- Enable governance metrics, automated reporting, data quality, traceability, repeatability, reliability, and audit readiness.
- Translate Responsible AI, privacy, and security policies into operational controls, platform configurations, control libraries, and supporting artifacts.
- Develop enablement materials, training, onboarding guides, office hours, and hands-on support to drive workflow adoption and continuous improvement.
- Coordinate with platform vendors, evaluate functionality against enterprise requirements, and maintain vendor-neutral governance solutions.
- Collaborate with Legal, Compliance, Security, Data and AI, and business stakeholders to solve complex cross-departmental problems.
Requirements
- Bachelor’s degree in STEM or a related field and at least 8 years of relevant experience, or an advanced degree and at least 5 years of relevant experience.
- Experience architecting enterprise integrations and orchestrating automations using standardized patterns.
- Experience designing and configuring OneTrust governance workflows and evidence management in enterprise environments.
- Experience with reporting, metrics design, automated reporting processes, data quality, and data traceability.
- Experience with Responsible AI and governance frameworks and regulatory trends.
- Ability to operate with minimal oversight, manage moderately sized projects or processes, and coach or delegate work to lower-level professionals.
- Experience communicating with and influencing cross-functional Legal, Compliance, Security, Data and AI, and business stakeholders.
- Preferred: hands-on experience with Archer or WatsonX AI Governance platforms.
- Preferred: AIGP, CIPP, CIPM, or Responsible AI training certification.
- Preferred: ability to translate Responsible AI frameworks into operational controls, measurable metrics, and audit-ready artifacts.
- Preferred: MLOps literacy, including model lifecycle concepts, model monitoring, drift detection, lineage, and dataset governance.
Benefits
- Remote U.S. work arrangement with primarily offsite work; select interview steps may require in-person attendance.
- Healthcare, dental, vision, life insurance, disability coverage, retirement benefits, 401(k) match, flexible spending accounts, and employee assistance programs.
- Flexible work schedules, paid time off, holidays, parental leave, and backup care for children or adults.
- Educational assistance, Employee Scholar Program, achievement awards, career development, and recognition programs.
- Potential eligibility for annual incentive compensation programs, depending on position and business unit.
Categories
About RTX Corporation
RTX Corporation builds aerospace and defense systems through its Collins Aerospace, Pratt & Whitney, and Raytheon businesses, serving commercial aviation, the U.S. government, and allied militaries. Its products range from aircraft engines and avionics to radars, missiles, and command-and-control software, sold via long-term OEM programs and defense contracts. Formed in 2020 by the Raytheon–United Technologies merger, RTX is headquartered in Arlington, Virginia and trades on the NYSE as RTX.