Senior AI 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

About the Role

As an AI Engineer you will help develop tailored user experiences using advanced LLMs Agentic development RAG Knowledge Graphs personalization and predictive analysis. You will collaborate with other engineers to deliver AI solutions across Workdays product ecosystem and utilize software and data engineering stacks to enable training deployment and lifecycle management of various AI pipelines. You will develop and deploy new products at scale and leverage Workdays vast computing resources on rich datasets to deliver transformative value to our customers.

In addition to contributing to feature and service development you must have an approach of continuous improvement passion for quality scale and security. You must be curious and prepared to question or challenge choices and practices where they dont make sense to you or could be improved. You also should have a product approach and strong intuition around how AI can drive a better customer experience. Lastly a strong sense of ownership and teamwork are essential to succeed in this role.

About You

• 8 years of professional experience in software engineering and product-building with a proven track record of shipping and maintaining production code at scale.

• 3 years of hands-on experience integrating large models (LLMs Foundation Models) and modern AI APIs into user-facing enterprise products.

• 2 years of hands-on experience building with modern AI orchestration frameworks (e.g. LangChain LlamaIndex or multi-agent frameworks) implementing advanced prompt engineering techniques to manage complex agentic workflows and applying techniques such as agentic development RAG and knowledge graphs to power use cases like personalization and predictive analysis.

• 4 years of experience optimizing application performance specifically tackling product constraints such as API latency token management and user interaction design.

• 4 years of proven experience leveraging cloud computing platforms (e.g. AWS GCP) to deploy highly responsive scalable systems.
  

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

• Product-First AI Mindset: Deep focus on business value user experience and applying deep learning or large models directly to solve practical end-user challenges.

• System Design & Reusability: Proven ability to architect robust application layers that wrap around AI models establishing reusable patterns for system predictability error handling and seamless UX integration.

• Experimentation & Evaluation: Skilled in rapid prototyping benchmarking model outputs against product requirements and setting up automated evaluation metrics (e.g. assessing retrieval quality and agentic behavior).

• Hands-on experience with production observability and monitoring tooling (e.g. Prometheus/Grafana OpenTelemetry Sentry Datadog) to debug trace and measure live systems

• Experience using feature-flag/experimentation platforms (e.g. LaunchDarkly) to safely roll out A/B test and decommission changes including flag lifecycle and cleanup discipline

• Familiarity with data persistence and async processing - relational databases and schema migrations (e.g. PostgreSQL) caching (e.g. Redis) and message/queue or task workflows (e.g. Celery Kafka SQS)

• A track record of writing well-tested maintainable production code with attention to code quality security scanning and dependency hygiene (e.g. unit/integration tests SonarQube dependency tooling)

• Work experience with backend services/REST APIs in Python (e.g. FastAPI Django)

• Collaborative Communication: Excellent interpersonal skills with a knack for bridging the gap between product management design and foundational ML infrastructure teams.

• Thrives in Ambiguity: Highly autonomous builder capable of taking open-ended product goals and breaking them down into concrete scalable engineering realities.

Workday Pay Transparency Statement (For EU Locations Only)

Listed below is the base salary range applicable to this position. Workday pay ranges (and the precise pay offered to the successful candidate) are based on a number of objective criteria such as relevant experience and skills and educational qualifications level of responsibility demands of the role work location and business need. 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 awarded by Workday Inc. 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.

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