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.

Basic Qualifications: 7+ years software development experience with a focus on production systems and business outcomes. Expert proficiency in Python with strong emphasis on production-quality code and modern Python patterns. Deep experience with agentic AI frameworks like LangGraph (or LangChain), Pydantic for data modeling, asyncio for asynchronous programming, and observability tools like LangSmith.

Proficiency with data manipulation libraries (pandas, NumPy), cloud SDKs (boto3), HTTP clients (requests, httpx). Experience with modern Python package managers like uv or poetry. Experience with Python testing frameworks (pytest), pre-commit hooks, and code quality tools (black, isort, flake8).

Experience with production development practices, GitHub, CI/CD. Expert proficiency designing and developing solutions using Object Oriented (OO) languages like Java, C# or similar. Deep understanding of REST APIs, Graph APIs, and data formats like JSON and XML.

Hands-on experience delivering products to market which combine traditional software engineering and AI capabilities, with emphasis on production reliability and operational excellence. Experience with end-to-end ownership of AI-powered features, including problem framing, model/tool selection, prompt engineering, evaluation frameworks, and lifecycle governance. Preferred Qualifications: Bachelor's degree in a relevant field, such as Computer Science, Mathematics, or Engineering.

Agentic AI & Workflows: Practical experience with agentic AI systems, agentic workflows, and multi-agent architectures. Familiarity with frameworks like LangGraph, AgentForge, or similar. AI/ML Fundamentals: Strong understanding of neural networks, large language models (LLM), retrieval augmented generation (RAG) systems, transformer architectures, and generative models.

Protocols & Integration: Experience with AI protocols such as Model Context Protocol (MCP), Agent-to-Agent (A2A), or similar integration patterns for AI systems. Service Orchestration: Experience with no-code/low-code orchestration platforms such as Flowise, n8n, PowerAutomate, Zapier, or similar workflow automation tools. Development Tools: Experience with AI-enhanced development environments and multi-agent SDLC tools (e.g., Cursor, Claude, GitHub Copilot) for improving engineering productivity.

Prompt & Context Engineering: Practical experience with prompt engineering for developers and context engineering techniques for building effective AI systems. Cloud & Infrastructure: Experience with cloud computing platforms (e.g. AWS, GCP), containerization technologies (e.g.

Docker), and data engineering pipelines (e.g. ETL). Customer-Facing Services: Experience building and operating customer-facing AI services with focus on reliability, cost optimization, and business metrics (adoption, quality, cost).

Globalization/Translation: Experience or interest in internationalization, localization, or translation technologies is a plus. Workday is proud to be an equal opportunity workplace. Further, pursuant to applicable local ordinances, Workday will consider for employment qualified applicants with arrest and conviction records.

You may view the Workday's Pay Transparency Policy, and Equal Employment Opportunity is the Law notice, by clicking on their corresponding links. Workday is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans during our application process. If you need assistance or an accommodation due to a disability, contact us at accommodations@workday.com.

Our Approach to Flexible Work With Flex Work, we’re 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 you'll 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. At Workday, we are committed to providing an accessible and inclusive hiring experience where all candidates can fully demonstrate their skills.

If you require assistance or an accommodation at any point, please email accommodations@workday.com . Are you being referred to one of our roles? If so, ask your connection at Workday about our Employee Referral process!

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