AI Governance Platform and Automations Engineer

2026-09-29

United States of America

US-NY-REMOTE

Remote

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.

• 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

• 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

None/Not Required

Not Required

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  Configure and maintain enterprise AI governance capabilities, standardizing workflows, controls, and evidence practices to ensure consistent execution across teams and business units.

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  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

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  Enable governance metrics, analytics, and automated reporting processes. Implement data quality and traceability practices to ensure accuracy, consistency, and audit readiness

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  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.

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  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

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  Coordinate with platform vendors for configuration guidance, support, and capability enablement. Evaluate functionality against enterprise requirements to keep solutions vendor-neutral and outcomes-focused

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