Senior Developer Experience (DevEx) Engineer – AI Platform

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 Forward Intelligence team owns the skills that power Workday's agent platform responsible for customer onboarding through the full post-deployment lifecycle - turning the deep configuration expertise and hard-earned wisdom of our Domain Experts and Deployment Consultants into production-grade, fully tested skills that the agent can execute unattended in live customer tenants.

What we own: The end-to-end skill engine and governance ecosystem, spanning skill knowledge extraction, promotion pipelines, evaluation frameworks, self-correcting drift detection, developer authoring environments, and customer onboarding and lifecycle management

How we build: Developer-first authoring environments and automated platform tooling that enable engineers to rapidly craft, test, and publish deterministic skills with built-in guardrails.

Agentic engineering: We build IDE tooling, prompt templates, .cursorrules configurations, and context-ingestion pipelines that allow AI-assisted editors (like Cursor) to natively generate compliant Model Context Protocol (MCP) schemas on the first try.

How we work: Close end-to-end collaboration across domain experts, AI platform engineers, and site reliability teams to transform domain knowledge into trustworthy, production-ready AI skills.

About the Role

We are seeking a Senior DevEx Engineer to own developer productivity and authoring tooling across our enterprise AI Skills platform. In this role, you will build the internal developer platform (IDP), IDE tooling, and context-ingestion architecture that enables engineers and domain experts to build high-quality, schema-compliant AI skills effortlessly.

You will bridge the gap between AI coding assistants and enterprise platform standards - optimizing developer workflows, curating AI editor rules, and creating starter templates to ensure code natively adheres to Model Context Protocol (MCP) standards before entering CI/CD pipelines.

Key Responsibilities

• Developer Environment & IDE Curation: Architect and maintain internal editor configurations (e.g., Cursor, VS Code) using .cursorrules, system prompts, and custom extensions to streamline AI skill authoring.
• Local CLI & Validation Tooling: Develop local CLI utilities, linters, and pre-commit hooks that give developers instant feedback on schema correctness, formatting, and syntax before pushing code.
• Developer Productivity Metrics: Track developer friction, template adoption, and first-pass build success rates to continuously reduce time-to-publish for new skills.
• Tool Orchestration & Abstraction: Experience building function-calling abstractions, wrapping existing enterprise REST APIs into MCP schemas, and maintaining standard Python/TypeScript skill libraries.
• MCP Templates & SDK Tooling: Design and distribute standard templates, boilerplate generators, and SDKs for Model Context Protocol (MCP) tool schemas and JSON-RPC skill contracts.
• Context Ingestion & Retrieval Pipelines: Build local codebase indexing, RAG, and context-ingestion pipelines that supply AI editors with accurate, real-time platform documentation and API specifications.

About You

Basic Qualifications

• 4+ years of professional software engineering experience building developer tools, internal platform infrastructure, CLI utilities, or IDE extensions in Python or TypeScript.
• 2+ years designing developer platforms, SDKs, or developer experience (DevEx) infrastructure.
• 1+ years of hands-on experience optimizing AI-assisted development workflows (e.g., Cursor, GitHub Copilot, Claude Code, or custom LLM coding extensions).
• Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.

Other Qualifications

• AI Coding Workflows & Rules: Hands-on experience writing .cursorrules, system prompts, or context-injection pipelines for AI code editors.
• Schema Contracts & API Validation: Strong knowledge of schema definition standards (JSON Schema, Pydantic, OpenAPI) and API contracts.
• Agentic Standards & MCP: Familiarity with the Model Context Protocol (MCP), tool-calling specifications, or agent execution harnesses.
• Developer Experience & Tooling Rigor: Deep empathy for developer ergonomics, API design, CLI interfaces, and technical documentation.
• Technical Communication: Excellent technical writing skills for quick-start guides, developer documentation, and architecture standards.

Workday Pay Transparency Statement (For EU Locations Only)

Listed below is the base salary range applicable to this position. Workday pay ranges (and the precise pay offered to the successful candidate) are based on a number of objective criteria such as relevant experience and skills, and educational qualifications, level of responsibility, demands of the role, work location and business need. As a part of the total compensation package, this role may be eligible for the Workday Bonus Plan or a role-specific commission/bonus, as well as annual refresh stock grants awarded by Workday Inc. For more information regarding Workday’s comprehensive benefits, please click here.

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.

Pursuant to applicable Fair Chance law, Workday will consider for employment qualified applicants with arrest and conviction records.

Workday is an Equal Opportunity Employer including individuals with disabilities and protected veterans.

Workday is committed to providing reasonable accommodations for qualified individuals during our application process, in order to perform one or more essential functions of their job, as well as regarding the use of AI tools for employment decision-making to any degree. Please see below for more details including how to request an accommodation as a qualified veteran, due to a disability or for religious reasons, or as otherwise provided under applicable law.

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If you require a reasonable accommodation, you may email [email protected], as far in advance as possible.

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