Senior Staff AI Engineer

Zscaler

Santa Clara, CA • 59m ago • On-site

Senior

On-site

180,000 - 225,000 USD/yr

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Potential salary for Senior Staff AI Engineer role

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$180,000 – $225,000/year

Quick Facts

Senior Staff AI Engineer (3-day hybrid, Santa Clara, CA)

Description

Lead enterprise AI platform and LLM application initiatives as a hands-on technical leader. Define architectural vision and build production-grade capabilities such as model gateways, context management, intelligent routing, evaluation, and LLM observability, while driving scalable AI operations across global teams.

Responsibilities

  • Architect and scale enterprise AI platform capabilities (model gateways, intelligent routing, cost governance, LLM observability, evaluation pipelines, long-term agent memory)
  • Provide hands-on technical execution for enterprise AI solutions and support (model platform administration, intelligent search, scalable L2 operational support)
  • Lead distributed engineering teams across the US and India; align roadmap priorities and conduct technical reviews
  • Establish production AI quality gates, including hands-on code development, CI/CD pipelines, regression suites, and latency/cost optimization
  • Partner with Security, Legal, Privacy, and enterprise business stakeholders to ensure compliant and secure AI enablement

Requirements

  • 8+ years of professional software engineering experience
  • Bachelor’s or Master’s degree in Computer Science, Engineering, or equivalent practical experience
  • 3+ years of technical leadership experience guiding distributed engineering teams across multiple time zones
  • Hands-on experience building and deploying production-grade AI/LLM applications (prompt engineering, RAG, agents, function calling/MCP, evaluation or observability)
  • Full-stack development proficiency using Python and TypeScript/Node.js (or Java/Go), plus React and robust API design
  • Hands-on cloud and containerized infrastructure expertise (AWS or GCP/Azure, Docker, Kubernetes) and automated CI/CD deployment pipelines
  • Production operations experience (incident response, on-call management, runbook development, SLA governance)

Benefits

  • Various health plans
  • Time off plans for vacation and sick time
  • Parental leave options
  • Retirement options
  • Education reimbursement
  • In-office perks

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