Senior Developer, Agentic AI Engineering

Your work days are brighter here.

Were 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 were shaping the future of work so teams can reach their potential and focus on what matters most. The minute you join youll 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. Were 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 youre building smarter solutions supporting customers or creating a space where everyone belongs youll do meaningful work with Workmates whove got your return well 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 youve found a match in Workday and we hope to be a match for you too.

About the Team

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: Youre 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:

• Bachelors 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 Workdays 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

Our Approach to Flexible Work

With Flex Work were 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 youll 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 .

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