AI Engineer

We’re 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, we’re shaping the future of work so teams can reach their potential and focus on what matters most. The minute you join, you’ll 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. We’re 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 you're building smarter solutions, supporting customers, or creating a space where everyone belongs, you’ll do meaningful work with Workmates who’ve got your back. In return, we’ll 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, you’ve found a match in Workday, and we hope to be a match for you too.

Working within a collaborative, cross-functional pod, you’ll implement how pre-trained foundational models (LLMs, vision APIs, etc.) power functional, user-facing enterprise software. You will be hands-on with building Retrieval-Augmented Generation (RAG) pipelines, managing orchestration frameworks, and continuous prompt engineering. This role sits at the intersection of AI application building and software engineering: you will work closely with senior engineers, product managers, and designers to turn cutting-edge agentic workflows into highly responsive, reliable, and user-centric features embedded directly into the Workday stack.

About You

Basic Qualifications

• 5+ years of professional software engineering experience, with a solid track record of developing, testing, and deploying production code.
• 1+ years of professional experience (or a strong, demonstrable portfolio of applied project work) working with Large Language Models (LLMs), foundational models, or modern AI APIs.
• Demonstrated experience working with AI orchestration concepts (e.g., LangChain, LlamaIndex, or similar tooling) and a strong foundation in prompt engineering to build functional LLM-powered features.
• 2+ years of hands-on experience with API integration, backend application development, and managing data pipelines.
• 2+ years of experience working with core development languages (such as Python) and handling modern software engineering workflows (CI/CD, testing frameworks, and version control).

Other Qualifications

• Bachelor’s degree (Master’s preferred) in Computer Science, Software Engineering, or an equivalent technical field.
• Product & Application Focus: A strong interest in user experience and a passion for applying AI capabilities to solve practical, real-world customer problems.
• Hands-on Orchestration: Familiarity with AI orchestration concepts, vector databases, semantic search, and prompt optimization techniques.
• Data Fluency: Experienced in handling data exploration, transformation, and integrating varied data sources to contextually ground AI outputs.
• Agile Collaboration: Proven ability to thrive in a team environment, collaborating closely with software developers, product managers, and UX designers.
• Curiosity & Growth Mindset: Eagerness to stay up to date with the rapid advancements in generative AI, autonomous agents, and LLM application design.

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 candidate’s 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 Workday’s comprehensive benefits, please click here.

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