Date Posted:2026-07-06
Country:United States of America
Location:US-NY-REMOTE
Position Role Type:Remote
U.S. Citizen, U.S. Person, or Immigration Status Requirements: Must be authorized to work in the U.S. without the company's immigration sponsorship now or in the future. The company will not offer immigration sponsorship for this position. The company will not seek an export authorization for this role.
Security Clearance Type: None/Not Required
Security Clearance Status: Not Required
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, and 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 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
Qualifications You Must Have:- 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
Quafications We Prefer:- 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
Work location:Remote
Remote: Employees who are working in Remote roles will work primarily offsite (from home). If you live within a reasonable commute of an RTX site with other colleagues you interact with, your manager will discuss whether there is a degree of onsite presence associated with this role.
As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote.The salary range for this role is 107,500 USD - 204,500 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills.
Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement.
Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company's performance.
This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply.
RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window.
