Senior Staff AI Engineer — Enterprise AI Platform Lead (Hybrid)

Zscaler, Inc.; Santa Clara (CA); Hybrid; USD 180,000 - 225,000; Full time

Benefits offered by this job

Hybrid work model

Time off plans for vacation and sick

Parental leave options

Retirement options

In-office perks

Job summary

Zscaler is hiring a Senior Staff AI Engineer to lead the AI Platform and AI Solutions teams from our Santa Clara, CA office on a 3-day hybrid schedule. You will define architectural vision, establish enterprise infrastructure, and drive production-grade AI applications across global teams.

You will oversee model gateways, intelligent routing, LLM observability, and production workflows, guiding distributed engineers and partnering with Security, Legal, and Privacy.

Qualifications

• Hands-on experience building production-grade AI/LLM apps with RAG, agents, and model evaluation/observability.
• 8+ years of software engineering experience with leadership responsibilities across time zones.
• Proficiency in Python, TS/Node.js (or Java/Go), modern front-end frameworks, and robust API design.
• Cloud and containerized infrastructure with CI/CD deployment pipelines.

Responsibilities

• Architect and scale enterprise AI platform capabilities and governance.
• Direct technical execution for AI solutions and enterprise platform administration.
• Lead distributed engineering teams across US and India with cross-time-zone alignment.
• Ensure production AI quality gates, CI/CD pipelines, and latency/cost optimization.
• Partner with Security, Legal, Privacy, and enterprise units for compliant AI enablement.

Skills

LLM applications

Distributed leadership

Full-stack development

Cloud & container infra

CI/CD & automation

Effective communication

Education

Bachelor's or Master's in CS/Engineering

Tools

AWS

Docker

Kubernetes

TypeScript/Node.js

React

Job description

Zscaler is hiring a Senior Staff AI Engineer to lead the AI Platform and AI Solutions teams from our Santa Clara, CA office on a 3-day hybrid schedule. You will define architectural vision, establish enterprise infrastructure, and drive production-grade AI applications across global teams.

You will oversee model gateways, intelligent routing, LLM observability, and production workflows, guiding distributed engineers and partnering with Security, Legal, and Privacy.