Senior AI Engineer

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 Workday's 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 Workday's vast computing resources on rich datasets to deliver transformative value to our customers.

Responsibilities

Develop tailored user experiences using advanced LLMs, Agentic development, RAG, Knowledge Graphs, personalization, and predictive analysis; Collaborate with other engineers to deliver AI solutions across Workday's product ecosystem; Utilize software and data engineering stacks to enable training, deployment, and lifecycle management of various AI pipelines; Develop and deploy new products at scale; Leverage Workday's computing resources on rich datasets to deliver transformative value to customers; Contribute to feature and service development with an approach of continuous improvement, passion for quality, scale, and security

Requirements

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

Nice to have

Bachelor’s degree (Master’s 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

Benefits

Eligible for Workday Bonus Plan or role-specific commission/bonus; Annual refresh stock grants; Comprehensive benefits; Flexible work schedule combining in-person and remote time