Senior AI Enablement Engineer, People

What you'll do

• Architect, build, and maintain agentic workflows, RAG pipelines, and integrations for People operations.
• Evaluate AI system accuracy, latency, retrieval quality, and user satisfaction; implement privacy controls for sensitive data.
• Translate People strategy into engineering work and partner with data and engineering teams on secure, maintainable systems.

What they ask for

• 6+ years of professional, hands-on builder/software engineering experience.
• 2+ years of hands-on experience building LLMs and AI tooling in production.
• Systems-level understanding of data retrieval, vector embeddings, and combining structured and unstructured data.
• Strong working knowledge of data privacy standards, including audit trails, role-based permissions, and access controls.

Nice to have

• Familiarity with LLM observability tooling such as LangSmith or Datadog LLM monitoring, or equivalent.
• Familiarity with HR/People systems such as Workday or Greenhouse.

Pay

$166,000.00 - $214,000.00 USD per year (base wage)

Tools

LLMs, LangSmith, Datadog LLM monitoring, Snowflake, Workday, Greenhouse

AI focus

Build and evaluate production AI workflows, agentic systems, and RAG pipelines for People operations, with emphasis on reliability, privacy, evaluation, and responsible deployment.