Senior AI Engineer, Full-Stack — Agent Factory

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

About the Role

Youll own the end-to-end design implementation and product integration of our intelligent agents and build the full-stack product surface those agents live in. Our ML Engineers build and optimize the foundational algorithms; your mission is intelligence orchestration and product delivery connecting the brain to the product.

Expect to be hands-on across React frontends backend microservices APIs data models asynchronous workflows agent orchestration layers and delivery infrastructure. Because these agents work with sensitive HR and financial data at global scale youll help implement the guardrails that keep them private predictable and explainable.

This is the most senior engineering role on the team. Youll set the technical direction for our agent architecture mentor the engineers around you and be the person who presents the work when the stakes and visibility are highest.

• Design and implement agentic workflows orchestration and routing layers tool calling retrieval pipelines memory and multi-step reasoning and integrate foundation models into customer-facing HR and Finance workflows.

• Build and operate end-to-end features across React frontends backend microservices APIs data models and CI/CD. You build it you run it.

• Own the constraints that make agents viable in production: latency cost per interaction context-window efficiency determinism and graceful failure.

• Build the evaluation loop offline and online evals benchmarking agent behavior against product requirements and production observability of agent traces.

• Implement Responsible AI in practice: guardrails permission and data-boundary enforcement PII handling auditability and explainability.

• Lead high-visibility projects end to end and present them with confidence in design reviews demos and executive updates.

• Make the call when the team needs one gather input quickly commit to a direction document the trade-offs and adjust as evidence arrives.

• Mentor engineers raise the technical bar and partner closely with Product UX Machine Learning and platform teams.

About You

• 10 years of professional software development experience including significant full-stack ownership from modern frontend through backend services.

• 5 years with backend web frameworks; Python frameworks such as FastAPI Flask or Django preferred.

• 2 years integrating large models (LLMs foundation models) and modern AI APIs into production user-facing products.

• 1 years designing and scaling AI orchestration architectures multi-agent or tool-calling frameworks routing layers or advanced RAG pipelines.

• 4 years using cloud platforms (e.g. AWS GCP) to deploy responsive scalable systems.

• Track record of shipping AI and agentic features that real customers use in production and owning them after launch prototypes alone arent the bar.

• Product-first mindset: you apply large models to solve practical user problems not to showcase the technology.

• Practical command of LLM constraints (token and cost management context-window efficiency caching streaming fallbacks) and of evaluation rapid prototyping benchmarking outputs and automated metrics for retrieval quality and agentic behavior.

• Strong understanding of the governance guardrails and security layers required when deploying autonomous agents over sensitive enterprise data.

• Proven ability to architect the application layer around AI models: reusable patterns for predictability error handling and seamless UX integration.

• Strong experience with React or a comparable framework TypeScript state management and modern build tooling plus a commitment to accessibility (WCAG 2.1/2.2).

• Deep knowledge of backend service architecture microservice patterns and REST API design with proficiency in Python and ideally Kotlin or Java.

• 5 years with relational databases (PostgreSQL preferred) and non-relational stores including query analysis and indexing optimization.

• Strong grasp of distributed-system trade-offs with the ability to independently diagnose and optimize performance at scale.

• Hands-on with Infrastructure-as-Code CI/CD automation Docker and Kubernetes observability incident support and secure coding practices.

• A natural technical leader: people follow your direction because of your clarity and judgment not your title. You measure success by what the team ships not only by what you ship.

• Proven track record leading engineering workstreams end to end and mentoring junior-to-mid-level engineers into stronger ones.

• Confident presenter who is comfortable owning the room and steady when a project is visible ambiguous or under real time pressure.

• Collaborative and decisive: you seek input broadly disagree and commit and keep momentum without steamrolling.

• Highly autonomous builder who turns open-ended product goals into concrete scalable engineering plans.

• Bachelors degree (Masters preferred) in Computer Science Software Engineering or an equivalent technical field.

• Experience integrating ML services or data pipelines into web applications; familiarity with Elasticsearch rich-text editors or document-parsing tools C4 diagramming or Workday XO lifecycle management.

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.

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.

At Workday we are committed to providing an accessible and inclusive hiring experience where all candidates can fully demonstrate their skills. If you require assistance or an accommodation at any point please email .

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