AI Solutions Engineer, People & Culture

Zscaler provides a cloud security platform that protects customers from cyberattacks and data loss through its Zero Trust Exchange. The AI Solutions Engineer will lead the transformation of the People & Culture organization into an AI-native HR function by building governed AI agents, redesigning workflows, enabling subject matter experts, and driving adoption.

Responsibilities:

• 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

Requirements:

• • 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
• • 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 MCPs and governance systems, and evaluate outputs at the system level without needing engineering handholding
• • Track record of taking solutions from problem identification through real adoption while simultaneously upskilling others through training, enablement, or sustained co-working
• • Highly autonomous, self-directed, and comfortable operating as a senior individual contributor in a domain being invented in real time
• • Sit at the rare intersection of engineering depth and HR practice, ensuring we avoid both technically correct agents that the field ignores and HR prototypes that do not scale
• • Possess a deep understanding of how to balance cutting-edge agent building with the practical realities, risks, and sensitivities of HR operations
• • Drawn to early-stage, high-impact opportunities and eager to be a primary author of the playbook for AI-native HR