# Senior Responsible AI Systems Engineer at Workday

- Company: Workday
- What the company does: Experience a new way to work with Sana and agentic AI from Workday. Backed by Greylock, NEA and Menlo.
- Company website: https://www.workday.com/
- Type: Startups (AI role)
- Level: Senior
- Location: USA, CA, Pleasanton
- Work setup: On-site
- Pay: $169K to $253K base salary per year (USD)
- Posted: 2026-09-25
- Apply by: 2026-11-09
- Apply: https://workday.wd5.myworkdayjobs.com/en-US/Workday/job/USA-CA-Pleasanton/Senior-Responsible-AI-Systems-Engineer_JR-0110115
- Page: https://www.1752.vc/careers/jobs/workday-senior-responsible-ai-systems-engineer/

## About the role

This is an exciting opportunity to help build out both the operating model and technical systems that support a still-new but growing program at Workday: Responsible AI. As Workday accelerates both our development and use of AI internally, we must scale our ability to govern these systems through clear programs, repeatable processes, effective cross-functional execution, and practical automation.

## What they're looking for

- Bachelor’s degree in quantitative science, Engineering, Information Systems, Business Administration, a related technical or operational field, or equivalent practical experience
- 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
- Familiarity with Responsible AI frameworks, policies, regulations, and standards, such as the NIST AI Risk Management Framework, EU AI Act, or similar governance frameworks is a strong plus
- Proficiency in at least one programming or scripting language (e.g., Python, Java) and experience with workflow orchestration or automation platforms a strong plus
- Strong communication skills, with the ability to translate between technical and non-technical stakeholders and enable teams to adopt new systems, processes, and ways of working