Senior Staff AI Engineer — Hybrid, Flexible Schedule

Zscaler, Inc.

San Jose (CA)

Hybrid

USD 107,000 - 130,000

Full time

4 days ago
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Benefits offered by this job

401(k)
Dental insurance
Flexible schedule
Retirement plan

Job summary

Zscaler, Inc. is seeking a Senior Staff AI Engineer to lead two IT AI/ML Engineering groups in a hybrid setup.

You will own platform architecture, roadmap, and delivery for shared AI services and AI-powered experiences, including LLM gateways, routing, and enterprise AI tools. You will manage distributed teams across the US and India, drive high-quality code, and establish governance for cost, latency, and evaluation.

Qualifications

  • 8+ years of software engineering experience, including 3+ years building production ML services.
  • Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
  • 3+ years as a technical lead delivering, across time zones and with contractors.
  • Strong full‑stack skills: Python and TypeScript/Node.js (or Java/Go), React, API design.
  • Practical LLM application experience: prompt design, retrieval augmented generation, agents, routing.
  • Experience with evaluation and observability for AI systems: test sets, regression, cost/latency tracking.
  • Cloud/DevOps: AWS/GCP/Azure, Docker, Kubernetes, CI/CD, monitoring, canary/rollback.
  • Production service experience: on-call, incident response, runbooks, L2 escalation.
  • Clear communication to align priorities with leaders and partners.

Responsibilities

  • Lead the AI platform group, owning architecture, roadmap, and delivery for shared services.
  • Lead AI solutions and support group, delivering AI-powered help and search experiences and admin platforms.
  • Coordinate a distributed team across the US and India with planning and reviews.
  • Convert business requests into prioritized work and manage risks and status updates.
  • Stay hands-on with APIs, services, front-end/back-end code, and CI/CD pipelines.
  • Set quality gates for AI solutions and establish cost and latency targets.
  • Run operations to reduce tickets, lead incident response, and track platform cost and reliability.
  • Collaborate with Sales, Support, Finance, Security, Privacy, and Legal on data handling and approvals.
  • Mentor engineers, manage contractor performance, and share best practices.

Skills

AI/ML engineering
Full-stack development
Python
TypeScript/Node.js
React
Cloud platforms
API design
Communication

Education

Bachelor's or Master's degree in Computer Science/Engineering

Tools

AWS
Docker
Kubernetes
CI/CD
GCP
Azure

Job description

Zscaler, Inc. is seeking a Senior Staff AI Engineer to lead two IT AI/ML Engineering groups in a hybrid setup.

You will own platform architecture, roadmap, and delivery for shared AI services and AI-powered experiences, including LLM gateways, routing, and enterprise AI tools. You will manage distributed teams across the US and India, drive high-quality code, and establish governance for cost, latency, and evaluation.

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