Senior Workday AI & Integrations Engineer
Overview
We are seeking an innovative, forward-thinking Senior Workday AI & Integrations Engineer to bridge the gap between enterprise human capital management and generative AI. In this role, you won't just build traditional pipelines; you will transform how our organization interacts with people data.
You will design, develop, and maintain robust Workday HR integrations while leveraging Google Gemini models to build intelligent, agentic workflows and automated natural-language interfaces. The ideal candidate treats AI as a high-trust collaborator, utilizing Workday's latest developer ecosystems alongside Google Cloud AI to build the future of HR tech.
Responsibilities
Key Responsibilities
1. AI & Agentic Development (Google Gemini & Workday Build)
- Design and deploy custom AI agents and agentic apps using Workday Build and Google Gemini LLMs to automate complex internal HR workflows.
- Implement semantic search, Retrieval-Augmented Generation (RAG) pipelines, and intelligent data extraction over unstructured HR data (e.g., resumes, policy documents, performance reviews).
- Utilize Workday's Developer Agent and modern AI-native developer tools (like Cursor, Claude Code, or Google Antigravity) to rapidly prototype and scale process automation.
- Ensure AI implementations are deeply grounded in real enterprise data using the Model Context Protocol (MCP) and Agent-Ready Tools under strict governance.
2. Core Workday HR Integrations
- Architect, develop, and test end-to-end inbound and outbound integrations using Workday Studio, EIB (Enterprise Interface Builder), Core Connectors, and Document Transformation.
- Build advanced Custom Reports, Matrix Reports, and complex Calculated Fields to securely pipe data to downstream vendors (Payroll, Benefits, downstream Data Warehouses like Snowflake).
- Develop robust, versioned web service integrations using REST, SOAP, and GraphQL APIs.
- Write clean, optimized XML, XSLT, and JSON transformations to manage large-scale data sets flawlessly.
3. Governance, Security, and Release Management
- Enforce dual-authorization guardrails using Agent Gateway protocols to ensure AI agents operate safely within explicit user and tenant permission structures.
- Partner closely with the HR Security team to align all integration and AI-driven workflows with enterprise data privacy, GDPR, and strict internal compliance protocols.
- Own the lifecycle of integrations from Sandbox to Production, actively managing the bi-annual Workday release regression testing and performance tuning.
Qualifications
- 5+ years of hands-on experience building complex integrations. Mastery of Workday Studio, EIBs, CCWs, and Workday Security Groups is required.
- AI & LLM Expertise: Proven experience prompt engineering, fine-tuning, or orchestrating Google Gemini (Flash/Pro) models within corporate software applications.
- Development Stack: Strong proficiency in Python (Asyncio, Pydantic, or frameworks used for ML/AI pipelines) and experience with API middleware or iPaaS solutions (MuleSoft, Boomi, or cloud native integration tools).
- Data Serialization: Advanced mastery of XML, XSLT, XPath, and JSON data transformations.
- Preferred / "Nice to Have"
- Active or past Workday Studio Certification.
- Experience building custom apps on Workday Extend or using Workday Orchestrate.
- Familiarity with Google Cloud Platform (GCP) architecture, specifically Vertex AI.
