Remote Senior Director, AI Platform & Engineering

Zscaler

San Jose (CA)

Hybrid

USD 264,000 - 330,000

Full time

8 days ago

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Benefits offered by this job

Health plans
Time off plans for vacation and sick
Parental leave options
Retirement options
Education reimbursement

Job summary

Zscaler is seeking a Sr Director, AI Engineering to lead the enterprise AI strategy and shape the engineering of our core harness ecosystem, including Agent Harness, AI Gateway, and Registry infrastructure. You will oversee four disciplines—Forward Deployed Engineering, ML, Platform Engineering, and AI Architecture—driving reliability, scalability, and performance.

The role is Remote within the United States with a hybrid preference for San Jose, CA and reports to the VP, Data & AI.

Qualifications

  • 10+ years in engineering leadership managing managers across multiple technical disciplines including platform, ML, and architecture.
  • Proven experience owning a technical strategy or roadmap for an AI or platform engineering organization.
  • Deep technical background in distributed systems, platform engineering, applied ML, or enterprise architecture.
  • Proven track record setting engineering standards and architecture review processes that scale across teams.
  • Experience partnering with non-engineering executive leadership to align technical delivery to a broader operating model.

Responsibilities

  • Own enterprise AI technical strategy and multi-quarter roadmap for the harness ecosystem (Agent Harness, AI Gateway, Registry).
  • Lead Forward Deployed Engineering, Machine Learning, AI Platform Engineering, and AI Architecture into a cohesive org with shared standards.
  • Ensure end-to-end reliability, uptime, and performance SLAs for the harness ecosystem.
  • Establish enterprise architecture standards, non-human identity frameworks, and agent design patterns for governance and reviews.
  • Direct ML model strategy, evaluation harnesses, and Gateway routing logic to optimize cost and performance at scale.

Skills

Engineering leadership
Technical strategy
Distributed systems
Platform engineering
Machine learning
Security/governance collaboration

Job description

Zscaler is seeking a Sr Director, AI Engineering to lead the enterprise AI strategy and shape the engineering of our core harness ecosystem, including Agent Harness, AI Gateway, and Registry infrastructure. You will oversee four disciplines—Forward Deployed Engineering, ML, Platform Engineering, and AI Architecture—driving reliability, scalability, and performance.

The role is Remote within the United States with a hybrid preference for San Jose, CA and reports to the VP, Data & AI.

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