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AI Solutions Engineer, People & Culture

Job in Bellevue, King County, Washington, 98009, USA
Listing for: Zscaler
Full Time position
Listed on 2026-10-15
Job specializations:
  • Software Development
    AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 117250 - 167500 USD Yearly USD 117250.00 167500.00 YEAR
Job Description & How to Apply Below

Bellevue, Washington, USA;
Santa Clara, California, USA

Zscaler (NASDAQ: ZS) accelerates digital transformation so customers can be more agile, efficient, resilient, and secure. The Zscaler Zero Trust Exchange platform protects thousands of customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Distributed across 200+ public data centers globally and thousands of private sites at the edge, the SASE-based Zero Trust Exchange is the world’s largest in-line cloud security platform.

We believe the future of work is Human + AI and are building an AI-native enterprise where human potential is amplified by machine intelligence to solve the world’s hardest security challenges. Driven by deep customer obsession, we are committed to the mission, outcome, and to each other. We bring these commitments to life through three core behaviors: ownership and collaboration, trust through outcomes and impact, and a challenge culture with ongoing feedback.

Ready to make an impact at the company pioneering security transformation in the AI era? Join us at Zscaler.

We are looking for an AI Solutions Engineer, People & Culture to join our team. This is a hybrid role (in office Tuesday-Thursday) in our Santa Clara, CA HQ or Bellevue, WA office, reporting to the AI Transformation Director in the Global People & Culture Organization. Human Resources is being transformed around Human + AI optimization, and you will be the driving force behind this transformation.

Part builder, part co-builder, and part teacher, you will spearhead our transition to an AI-native HR function by encoding the judgment of our best practitioners into safe, governed agents that seamlessly integrate with human ingenuity to unlock unprecedented outcomes.

What you’ll do (Role Expectations)

  • Design, deploy, and continuously improve the most impactful and high-risk agents using Gemini agent builder, Claude, Codex, and MCP integrations, owning the full maturity path from initial prototype to a hardened, governed product
  • Pair deeply with subject matter experts from compensation analysts to recruiters to build domain-specific agents, transferring your technical craft so they can independently maintain and evolve their own tools
  • Redesign workflows from the inside out to ensure we solve fundamental process issues rather than simply automating a broken system
  • Operate what you ship as a true product owner by monitoring adoption, diagnosing failures, and guiding stakeholders to turn skeptics into sponsors
  • Partner closely with the AI Center of Excellence and Forward Deployed Engineering team to solve the hardest technical integration challenges on shared rails, as well as co-create mature governance standards

Who You Are (Success Profile)

  • You are a "Figure-it-out" person who navigates ambiguity with ease and addresses fundamental process issues rather than bolting AI onto the current state
  • You are technically fluent and a proven builder with a portfolio of shipped, adopted GenAI agents, hands-on with skills, MCPs, data, automations, prompt design, and evals
  • You are a force multiplier who teaches as you work, measuring your success by the new capabilities you leave behind in others
  • You are a champion of adoption and change management who brings stakeholders along and ensures deployments stick in real-world applications
  • You are deeply aware of the risks associated with people data, building with care while defining the long-term playbook for an AI-native HR function

What We’re Looking for (Minimum Qualifications)

  • Demonstrated hands-on experience building AI agents, automations, or tools that changed how real work gets done
  • Technical fluency sufficient to design agents architecture and instructions, work with…
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