Principal Engineer, AI Production Readiness

Your work days are brighter here. 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.

Your work days are brighter here. 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.

About The Team

The Architecture & AI (AAI) organization is a dynamic and evolving team that is spearheading Workday’s growth through trusted data excellence, innovation, and architectural thought leadership. Equipped with an array of skills in data & AI platforms and architecture, data science, engineering, machine learning and AI strategy & product management, this team orchestrates the flow of data across our growing company while ensuring data accessibility, accuracy, and security. With a relentless focus on innovation and efficiency, Workmates in AAI enable the transformation of complex data sets into actionable insights that fuel strategic decisions and position Workday at the forefront of the technology industry.

About The Role

We are seeking a Principal AI Engineer to own the technical path that carries internally built AI agents from prototype to enterprise‑grade production on Workday’s Databricks and AWS estate. This is a hands‑on engineering role at the intersection of AI applications, data, identity and platform. You will design the architecture and work in code to build the reference implementations and evaluation harnesses that business‑built applications are re‑architected onto, and hold the technical bar as those applications move into production.

Job Duties

• Production readiness standards and automated enforcement: Define and enforce what production‑ready means for an AI application at Workday — exit criteria against BT's existing security, code, testing and documentation gates, plus the evaluation sets, graders and regression suites that run in the deployment pipeline to prove those criteria are met, drawing on representative data, production signals and human review.
• Architecture and paved‑road assets: Own the architecture patterns for AI applications across the Databricks and AWS stacks, and build and maintain the reference implementations and deployment templates for each recurring pattern, so a team building a known pattern inherits correct identity, data access and logging posture by construction.
• Hands‑on engineering: Work in code with the current stack; AWS Bedrock and AgentCore, Databricks Agent Bricks and Unity Catalog — to build prototypes, tool and system integrations, and to re‑architect AI‑generated applications into services that can hold a production state.
• Technical diagnosis and resolution: Diagnose complex implementation challenges in non‑deterministic systems, reproduce failures, bisect regressions across model version, prompt, retrieval index and tool schema, trace latency and token cost