People Analytics AI Engineer

Samsara Samsara · Enterprise · Seattle, WA · Remote · People Experience

Samsara is seeking a Staff AI Engineer to join their People team. This role will lead the development, implementation, and maintenance of HR tech solutions and AI initiatives, transforming manual HR work into efficient, production-grade solutions. Responsibilities include designing, building, and operating secure, scalable applications, automations, and AI workflows, integrating people systems with enterprise platforms, and evaluating emerging technologies. The role requires hands-on experience with LLM applications, prompt engineering, RAG, and Python coding.

What you'd actually do

  1. Partner with People team members and cross-functional stakeholders (including IT and others) to design, build, and maintain HR tech solutions that enhance how we deliver people programs to the business, streamline HR workflows, improve data quality, and drive measurable productivity gains.
  2. Act as a key voice in roadmap planning, experimentation frameworks, and modeling strategy discussions.
  3. Identify gaps in data, tools, and processes — and lead initiatives to close them.
  4. Develop and deploy AI-powered tools and automations that transform core HR processes, such as employee self-service and HR intake, onboarding and offboarding, knowledge retrieval, workforce and headcount planning, performance and talent management, total rewards analysis, and document drafting, analysis, and translation.
  5. Integrate people systems with core enterprise platforms (e.g., Workday, Google Suite, Slack, Salesforce, Greenhouse, and others) to ensure seamless data flow, scalability, and reliability.

Skills

Required

  • building and scaling production-grade enterprise applications and integrations
  • software engineering fundamentals
  • design and deliver solutions with little or no technical guidance
  • large language model (LLM) applications
  • prompt engineering
  • retrieval-augmented generation
  • related AI workflows
  • coding in Python
  • scripting
  • data manipulation
  • interacting with APIs
  • SQL or NoSQL databases
  • data modeling
  • query optimization

What the JD emphasized

  • lead the development, implementation, and maintenance of the tools and systems that power our HR workflows and AI initiatives
  • design, develop, and operate secure, scalable applications, automations, and AI workflows
  • transform manual HR work into efficient, production-grade solutions
  • applying technology and AI to solve complex challenges
  • scale a modern people function
  • transform core HR processes
  • large language model (LLM) applications

Other signals

  • AI-powered tools and automations that transform core HR processes
  • LLM applications, including prompt engineering, retrieval-augmented generation
  • Integrate people systems with core enterprise platforms