Senior Developer Agentic AI Engineering

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 Customer Agentic Solutions team is part of the Globalization Platform org, which develops and evolves Workday's internationalization and localization platforms while building out new agentic AI capabilities. Our ambition is to provide a fit-for-purpose language experience to our customers by partnering with internal teams through innovative and emerging technology capabilities.

Our team is specifically focused on providing Workday Agentic teams, App Devs and Customers with best-in-class AI-powered translation self-help services and solutions, thus globalizing Workday AI Agents and Customer Solutions. We create AI-powered software and self-help guidance (playbooks) for Workday App Devs, ensure the health of customer-facing services, continuously watch the AI domain for advancements, and improve engineering productivity by leveraging multi-agent software development tools.

Our engineering teams are passionate about automation and leveraging cutting edge AI technologies to drive innovation, leading to a brighter Workday for all. We value trust, transparency, value-driven innovation, continuous learning, collaboration, effective communication and accountability. Our team fosters brave, happy, innovative collaboration across continents and time zones, with deep mutual respect and a focus on building the right thing at the right time.

About the Role

• As an SDE, you will be a full-stack product engineer who ships, operates, and continuously improves AI-powered features end-to-end. You will own problem framing, data contracts, model/tool selection, prompts, evaluations, safety, cost/latency optimization, and lifecycle governance for customer-facing AI services.
• You will play a key part in designing and developing AI-powered translation self-help services and solutions that globalize Workday AI Agents and Customer Solutions. Your focus will be on production reliability and business outcomes (adoption, quality, cost) at software-engineering speed, not research-heavy development.
• You will lead by example, demonstrating architecture and development best practices, while mentoring and empowering your fellow team members to achieve success. You are a problem solver and innovator who can work both independently and collaborating closely with teammates, PMs, Architects, and Linguists.

About You

Core Competencies

• Problem-Solving & Analytical Skills: You're not just a “coder.” You can analyze business requirements, design robust AI-powered solutions, and troubleshoot complex AI systems and data flows. You understand the trade-offs between different AI approaches and can make pragmatic decisions.
• Communication & Collaboration: The role requires excellent communication skills. You must be skilled at gathering requirements from non-technical stakeholders (PMs, Linguists, Product Teams), explaining AI concepts clearly, and collaborating effectively with cross-functional teams.
• Business Context Understanding: You understand the “WHY” behind AI solutions. You can connect technical AI capabilities to business outcomes (adoption, quality, cost) and work with stakeholders to frame problems effectively.<