AI Governance Platform and Automations Engineer

Prattwhitney; New York (NY); Hybrid; USD 108,000 - 205,000; Full time

Benefits offered by this job

Flexible work schedules

Educational assistance

Parental leave

Paid time off

Holidays

Job summary

RTX's Enterprise Services Data (ES-Data) group seeks a Responsible AI Engineer to support AI governance across RTX businesses. You will configure governance platforms, automate data exchange, and ensure auditable, scalable controls.

The role focuses on policy implementation, evidence management, and vendor coordination within a global AI governance program. Ideal candidates bring hands‑on experience with One Trust, Archer, or WatsonX, strong data governance knowledge, and the ability to drive

Qualifications

• Bachelor’s degree in STEM or related field required.
• Minimum 8 years of relevant experience, or 5+ years with advanced degree.
• Experience architecting integrations and automations for governance processes.
• Experience with One Trust governance workflows and evidence management.
• Experience with reporting, metrics design, and data quality practices.
• Experience with Responsible AI governance frameworks and regulatory trends.
• Ability to work with cross‑functional teams including Legal, Compliance, Security, Data and AI.

Responsibilities

• Configure and maintain enterprise AI governance capabilities and workflows.
• Design scalable integrations between governance capabilities and core systems.
• Automate assessments, evidence capture, and reporting processes.
• Improve repeatability, reliability, and audit readiness.
• Enable governance metrics and automated reporting.
• Translate policies into operational controls embedded in platforms.
• Maintain a central control library with compliance partners.
• Develop enablement materials and training.

Skills

AI governance

Integration architecture

Cross‑functional collaboration

Policy translation

MLOps literacy

Auditable controls

Education

B.S. in STEM

Advanced degree (preferred)

Tools

One Trust

Archer

WatsonX

Job description

At RTX, the world largest aerospace and defense company, 185,000 great minds are united by purpose and inspired to make a difference solving the world's most complex problems. With our three market leading businesses, world-class operations and investments in research and development, we offer capabilities and opportunity no one else can. Together, we push the boundaries of known science and find new ways to connect and protect our world. Join us and help shape the future of aerospace and defense.

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.

• Experience architecting integrations and orchestrating automations using standardized patterns that streamline governance processes.
• Experience with One Trust - designing and configuring governance workflows and evidence management in enterprise environments.
• Experience with reporting, including metrics design, automated reporting processes, and data quality and traceability practices.
• Experience with Responsible AI and governance frameworks and regulatory trends.
• Experience operating 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 teams Legal, Compliance, Security, Data and AI, and Business stakeholders, including solving complex cross‑departmental problems.

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.

What We Offer

We offer a 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
• child/adult backup care

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.

• 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
• holidays

Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, individual performance, business unit performance, and/or the company’s performance.

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.

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.

Work Location

Remote. Please ensure the role type defined below is appropriate for your needs before applying to this role. This position is classified as: 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.

RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section503 of the Rehabilitation Act and the Vietnam Era Veterans’ Readjustment Assistance Act.

Privacy Policy and Terms: Click on this link to read the Policy and Terms.

RTX is an aerospace and defense company that provides advanced systems and services for commercial, military and government customers worldwide. It comprises three industry-leading businesses – Collins Aerospace, Pratt & Whitney, and Raytheon. Its 195,000 employees enable the company to operate at the edge of known science as they imagine and deliver solutions that push the boundaries in quantum physics, electric propulsion, directed energy, hypersonics, avionics and cybersecurity. The company, formed in 2020 through the combination of Raytheon Company and the United Technologies Corporation aerospace businesses, is headquartered in Arlington, Virginia.