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.
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.
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.
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.
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.
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
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.
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:
Our Approach to Flexible Work With Flex Work, we’re combining the best of both worlds: in-person time and remote.
Experience
Qualifications: 7+ years software development
Benefits
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.
You may view the Workday's Pay Transparency Policy, and Equal Employment Opportunity is the Law notice, by clicking on their corresponding links.
Contact
If you need assistance or an accommodation due to a disability, contact us at accommodations@workday.com.
Additional details
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.
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.
Our ambition is to provide a fit-for-purpose language
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.
Your focus will be on production reliability and business outcomes (adoption, quality, cost) at software-engineering speed, not research-heavy development.