
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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