Senior Responsible AI Systems Engineer

Your work days are brighter here.

Were obsessed with making hard work pay off for our people our customers and the world around us. As a Fortune 500 company and a leading AI platform for managing people money and agents were shaping the future of work so teams can reach their potential and focus on what matters most. The minute you join youll feel it. Not just in the products we build but in how we show up for each other. Our culture is rooted in integrity empathy and shared enthusiasm. Were in this together tackling big challenges with bold ideas and genuine care. We look for curious minds and courageous collaborators who bring sun-drenched optimism and drive. Whether youre building smarter solutions supporting customers or creating a space where everyone belongs youll do meaningful work with Workmates whove got your return well give you the trust to take risks the tools to grow the skills to develop and the support of a company invested in you for the long haul. So if you want to inspire a brighter work day for everyone including yourself youve found a match in Workday and we hope to be a match for you too.

About the Team

Do what you love. Love what you do.

At Workday we help the worlds largest organizations adapt to whats next by bringing finance HR and planning into a single enterprise cloud. We work hard and were serious about what we do. But we like to have fun too. We put people first celebrate diversity drive innovation and do good in the communities where we live and work.

Workdays core value of integrity is the driving force behind the Workday Compliance & Integrity Team which provides all Workmates with the knowledge and tools needed to act with integrity in all business situations including the development and use of innovative artificial intelligence (AI) products and technologies. Workdays Responsible AI program sits within the Compliance and Integrity team in Legal Compliance and Corporate Affairs. The program brings together technical legal policy and behavioral science expertise to identify and manage AI risk while enabling Workday to innovate quickly.
Our work spans the AI lifecycle from risk classification and evaluation to governance monitoring and deployment. As AI becomes increasingly embedded across Workdays products and internal operations we are building the programs processes workflows and technical infrastructure needed to make Responsible AI scalable and durable.
Much as data and privacy engineers translate legal and policy requirements into working technical systems Responsible AI Systems Engineering turns Responsible AI principles policies and standards into automated tooling workflows controls and infrastructure. The goal is to embed Responsible AI into how AI is built and used at Workdaynot treat it as a one-time review step.

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.

This is a systems engineering role at the intersection of engineering and governance combining technical capability with strong cross-functional execution. The focus is on driving cross-functional Responsible AI initiatives from planning through implementation and adoption. The role combines strong program execution technical fluency operational judgment and hands-on systems orientation. You will help coordinate and operationalize Responsible AI governance across Product Engineering Legal Privacy Security Data and other partner teams while also contributing to the workflows tooling integrations and automation that make that governance scalable.

This role is well suited for someone who can move between program management and technical operations: organizing ambiguous work into actionable plans aligning stakeholders translating policy and governance requirements into system and process requirements tracking risks and dependencies and helping teams adopt new Responsible AI ways of working. You will work closely with the Lead Principal Responsible AI Systems Engineer to execute priority initiatives support system implementation workstreams and ensure Responsible AI workflows are delivered with quality reliability and appropriate technical rigor.

This is a highly collaborative role. The Senior Responsible AI Systems Engineer will partner with product ML engineering data science security privacy legal and compliance teams to embed governance into the systems and processes where AI products and capabilities are built deployed monitored and improved.

• 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. Contribute to the implementation integration testing monitoring maintenance debugging and improvement of Responsible AI tooling and platforms working with technical leads and engineering partners to ensure systems are reliable usable scalable and aligned with program requirements.
• Operationalize evolving Responsible AI requirements. Work with Responsible AI subject-matter experts and the Lead Principal Responsible AI Systems Engineer to translate emerging risks regulations standards and use cases into updated controls protocols workflows documentation and technical implementation requirements.
• Enable adoption by partner teams. Create and maintain repeatable playbooks process documentation training materials intake guidance and self-service resources that help Product Engineering Product Legal Global Legal Services and other partner teams use Responsible AI systems and processes with decreasing reliance on bespoke support.
• Improve processes through automation and operational rigor. Identify opportunities to replace manual or bespoke processes with standardized workflows reusable templates automation and system-driven controls; partner with technical teams to prioritize improvements that increase efficiency consistency observability and scalability.
• Support governance technology evaluation and continuous improvement. Help evaluate workflow orchestration automation reporting and integration capabilities needed to scale Responsible AI governance as Workday grows and regulatory requirements evolve.
• Serve as a cross-functional Responsible AI implementation partner. Represent the Responsible AI team in program product technical and governance forums; communicate status and risks clearly; help stakeholders understand implementation expectations; and support adoption of Responsible AI-by-design practices across Workday.

About You

Basic Qualifications

• Bachelors 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 Bachelors 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.

Other Qualifications

• 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.
• Technical fluency sufficient to partner effectively with engineering teams understand system architecture and implementation tradeoffs participate in troubleshooting and help translate governance requirements into practical system or automation requirements.
• Strong program management skills including project planning schedule development status reporting stakeholder management risk mitigation executive communication and the ability to manage multiple concurrent deliverables.
• 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.
• Comfort operating in highly ambiguous situations and building early-stage programs processes and systems in a still-maturing area.
• Growth mindset bias toward action patience when needed and a good sense of humor. After all one of Workdays core values is Fun!

Workday Pay Transparency Statement

The annualized base salary ranges for the primary location and any additional locations are listed below. Workday pay ranges vary based on work location. As a part of the total compensation package this role may be eligible for the Workday Bonus Plan or a role-specific commission/bonus as well as annual refresh stock grants. Recruiters can share more detail during the hiring process. Each candidates compensation offer will be based on multiple factors including but not limited to geography experience skills job duties and business need among other things. For more information regarding Workdays comprehensive benefits please click here.

Primary Location:

Primary Location Base Pay Range: $168700 USD - $253100 USD

Additional US Location(s) Base Pay Range: $142500 USD - $253100 USD

Our Approach to Flexible Work

With Flex Work were combining the best of both worlds: in-person time and remote. Our approach enables our teams to deepen connections maintain a strong community and do their best work. We know that flexibility can take shape in many ways so rather than a number of required days in-office each week we simply spend at least half (50%) of our time each quarter in the office or in the field with our customers prospects and partners (depending on role). This means youll have the freedom to create a flexible schedule that caters to your business team and personal needs while being intentional to make the most of time spent together. Those in our remote home office roles also have the opportunity to come together in our offices for important moments that matter.

Pursuant to applicable Fair Chance law Workday will consider for employment qualified applicants with arrest and conviction records.

Workday is an Equal Opportunity Employer including individuals with disabilities and protected veterans.

Workday is committed to providing reasonable accommodations for qualified individuals during our application process in order to perform one or more essential functions of their job as well as regarding the use of AI tools for employment decision-making to any degree. Please see below for more details including how to request an accommodation as a qualified veteran due to a disability or for religious reasons or as otherwise provided under applicable law.

Workday prohibits taking adverse action against any candidate or employee for reporting a possible violation of this policy requesting one or more work accommodations exercising a privacy right or cooperating in an investigation in accordance with applicable law. Any employee who retaliates against a candidate or employee for doing so may be subject to disciplinary action up to and including termination of employment to the fullest extent allowable under applicable law.

If you require a reasonable accommodation you may email as far in advance as possible.

Are you being referred to one of our roles If so ask your connection at Workday about our Employee Referral process!

At Workday we value our candidates privacy and data security. Workday will never ask candidates to apply to jobs through websites that are not Workday Careers.

Please be aware of sites that may ask for you to input your data in connection with a job posting that appears to be from Workday but is not.

In addition Workday will never ask candidates to pay a recruiting fee or pay for consulting or coaching services in order to apply for a job at Workday.