Senior AI Governance & Systems Engineer

Workday, Inc.; Pleasanton (CA); Hybrid; USD 169,000 - 253,000; Full time

Job summary

Workday, Inc. is seeking a Senior Responsible AI Systems Engineer to help build the operating model and technical systems for a growing Responsible AI program.

You will coordinate governance across Product, Engineering, Legal, Privacy, Security, Data, and other teams, translating policy into actionable system requirements and scalable workflows. The role blends program management with technical operations, requiring strong cross‑functional execution, risk tracking, and hands‑on engineering

Qualifications

• Bachelor’s degree in quantitative science, Engineering, Information Systems, Business Administration, a related technical or operational field, or equivalent practical experience.
• 5+ years of experience with a Bachelor’s degree, or 3+ years with an advanced degree, in systems engineering, developer operations, product operations, technical program management, or a similar role developing or managing technical programs, tooling, systems, or automation.
• 3+ years of experience leading or coordinating complex, cross‑functional technical initiatives from requirements through implementation, including working across engineering, product, legal, privacy, or other governance functions, and communicating status to senior stakeholders.
• Experience translating business, legal, policy, risk, compliance, or governance requirements into operational processes, technical requirements, implementation plans, controls, or scalable workflows.
• Experience working with technical systems, tools, platforms, workflows, automation, or integrations in partnership with engineering, product, data, privacy, security, legal, or compliance teams.

Responsibilities

• Drive Responsible AI program execution across product and technical teams.
• Lead and coordinate cross‑functional Responsible AI initiatives from planning through delivery, including scope definition, requirements gathering, milestone tracking, risk management, stakeholder alignment, launch readiness, and post‑launch adoption.
• Translate Responsible AI requirements into scalable operating models.
• Partner with Legal, Privacy, Product, Engineering, Security, and other stakeholders to translate policies, standards, regulatory requirements, and risk‑management expectations into repeatable workflows, controls, playbooks, technical requirements, and implementation plans.
• Work with the Lead Principal Responsible AI Systems Engineer to deliver priority systems and governance workstreams.
• Work with the Lead Principal Responsible AI Systems Engineer on technical and programmatic priorities, helping break complex Responsible AI initiatives into executable workstreams, coordinating dependencies, and ensuring timely delivery across multiple partner teams.
• Coordinate implementation of Responsible AI workflows and tooling.
• Support the design, implementation, rollout, and continuous improvement of workflows, orchestration processes, automated checkpoints, evidence‑capture mechanisms, dashboards, forms, and developer‑facing interfaces that operationalize Responsible AI principles across the AI development and deployment lifecycle.
• Partner on systems engineering and automation activities.

Skills

Program management

Technical fluency

Cross-functional collaboration

Communication skills

Ambiguity tolerance

Education

Bachelor's degree in quantitative science, Engineering, Information Systems, Business Administration, or related field

Advanced degree (preferred)

Tools

Python

Java

Workflow orchestration platforms

Job description

Workday, Inc. is seeking a Senior Responsible AI Systems Engineer to help build the operating model and technical systems for a growing Responsible AI program.

You will coordinate governance across Product, Engineering, Legal, Privacy, Security, Data, and other teams, translating policy into actionable system requirements and scalable workflows. The role blends program management with technical operations, requiring strong cross‑functional execution, risk tracking, and hands‑on engineering