Workday
Senior AI Engineer/AI Engineer III
USA, GA, Atlanta · Senior
Stay score
odds of building a lasting career here
Thin sponsorship signal and lottery-bound. A low-probability bet with your clock running. Prioritize cap-exempt roles and proven entry-level sponsors first.
Lottery odds assume a STEM candidate.
Personalize to your clock →Employer immigration record
from this employer's Department of Labor filings
Green-card filing pattern in this occupation
Green-card follow-through: 99%
Files H-1B transfers
Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.
Community outcomes
No reports yet — be the first to help the next applicant.
About the role
- Because these agents interact with sensitive HR and financial data at a global scale, you will be a key contributor to Responsible and Governed AI-implementing strict guardrails for data privacy, predictability, and explainability within your pod.
- This role requires a balance of domain-level system architecture and rigorous execution, solving critical product constraints like latency, cost, and reliability.
- Agent Factory is where Workday's next chapter gets built.
Responsibilities
- As a Senior AI Engineer in Agent Factory, you will drive the end-to-end system design, implementation, and product integration for a core domain of Workday's next generation of intelligent agents.
- Sitting at the intersection of AI capabilities, enterprise platforms, and human workflows, you will develop and integrate foundational models safely and reliably into functional, production-grade software.
- You will be hands-on in the design, experimentation, and orchestration of complex agentic workflows, translating cutting-edge AI capabilities into scalable business value.
- Our approach enables our teams to deepen connections, maintain a strong community, and do their best work.
Requirements
- 2+ years of hands-on experience integrating large models (LLMs, Foundation Models) and modern AI APIs into user-facing enterprise products.
- 1+ years of experience designing and scaling AI orchestration architectures-including multi-agent frameworks, routing layers, or advanced RAG pipelines.
- 4+ years of proven experience leveraging cloud computing platforms (e.g., AWS, GCP) to deploy highly responsive, scalable systems.
- Technical Leadership & Mentorship: Proven track record of technically leading engineering workstreams within a pod, taking ownership of the development lifecycle, and mentoring junior-to-mid level engineers.
- 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).
- 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.
Nice to have
- Bachelor's degree (Master's preferred) in Computer Science, Software Engineering, or equivalent technical field.
Skills
- Your work days are brighter here.
Compensation
- $186,000 USD - $278,000 USD
- $176,000 USD - $312,000 USD
- 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.
Benefits
- Our Approach to Flexible Work
- This means you'll 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.
Company info
- We're forming small, senior, cross-functional AI teams that bring together product leaders, AI engineers, and full-stack builders to create intelligent agents used by millions of people every day.
- This is production-grade AI-deeply embedded into Workday's platform-not research experiments or maintenance work.
- Teams own problems end to end, collaborate tightly across disciplines, and use the right tools to solve real customer challenges at global scale.
- You'll work at the intersection of AI, platform architecture, and human workflows, with the autonomy to shape how agents reason, act, and scale responsibly.
- High trust, high expectations, and real impact.
- Engineering, but brighter.
Equal opportunity
- Workday is an Equal Opportunity Employer including individuals with disabilities and protected veterans.
- If you require a reasonable accommodation, you may email accommodations@workday.com, as far in advance as possible.
- 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.
This listing is sourced directly from Workday's careers page and normalized into a canonical job model.