Staff AI & Data Engineer

Responsibilities

• Identify and deliver AI, automation, data product, integration, and platform opportunities across HR operations, recruiting, onboarding, compensation, benefits, learning, talent, workforce planning, and HR analytics.
• Design and build agentic AI solutions using LLMs, RAG, tool calling, memory, orchestration, APIs, and Databricks AI capabilities.
• Establish evaluation, testing, observability, security, identity-aware access, human oversight, auditability, and governance practices for AI solutions handling sensitive HR data.
• Design scalable HR data pipelines, products, domain models, semantic models, metadata, data contracts, and governed access using Databricks and Unity Catalog.
• Integrate Workday, Databricks, enterprise applications, and AI services through MCPs, APIs, events, webhooks, pipelines, and orchestration patterns.
• Drive solutions from discovery and prototyping through implementation, adoption, measurement, and continuous improvement.
• Mentor and pair with HR Tech engineers while establishing reusable architectures, documentation, development patterns, engineering standards, reliability practices, and cost-optimized solutions.
• Partner with HR Tech, Enterprise Data & AI, Enterprise Software Engineering, Security, HR COEs, product owners, and technical leaders across the organization.

Requirements

• 7+ years of software engineering, data engineering, AI/ML engineering, solution engineering, or related technical experience delivering production enterprise solutions.
• Hands-on experience building and deploying generative AI or agentic AI solutions using LLMs, RAG, tool calling, orchestration, APIs, and modern AI architectures.
• Experience designing secure, resilient enterprise integrations using event-driven architectures, MCPs, APIs, webhooks, orchestration platforms, AWS Lambda, SaaS capabilities, and robust authentication, authorization, idempotency, retry, and error-handling patterns.
• Hands-on Databricks experience, including Unity Catalog, medallion architecture, and AI capabilities such as model serving, vector search, or Mosaic AI.
• Experience designing scalable data pipelines, data models, and data products from structured and unstructured enterprise data.
• Meaningful hands-on experience with HR technology, HR data, and employee lifecycle processes, including platforms such as Workday, VNDLY, Greenhouse, or ServiceNow.
• Bachelor’s degree in Computer Science, Information Systems, Software Engineering, Data/AI, or a related field, or equivalent practical experience.
• Deep Workday experience with integrations/APIs, Extend, Prism, reporting, Business Process Framework, or Workday data architecture is preferred.
• Experience with MCP, multi-agent architectures, enterprise knowledge systems, semantic search, and advanced RAG architectures is preferred.
• Experience with Workato, Windsurf, Devin, TrueFoundry, Microsoft Copilot, or comparable AI development, automation, and deployment platforms is preferred.
• Experience with AWS, GCP, or another major cloud platform, including CI/CD, DevOps, and production observability, is preferred.
• Experience with HR Analytics, workforce planning, talent intelligence, or other HR domain data models is preferred.

Benefits

• Open paid time off policy and flexible work schedules.
• Medical, dental, and life insurance.
• Parental leave for the employee, spouse/domestic partner, and children.
• 401(k) with company match.