AI Solutions Engineer

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 160+ public exchanges globally and thousands of private exchanges 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 remote US based role, 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

• 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

What Will Make You Stand Out (Preferred Qualifications)

• 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

The base salary range listed for this full-time position excludes commission/ bonus/ equity (if applicable) + benefits. Base Pay Range $117,250-$167,500 USD

At Zscaler, we are committed to building a team that reflects the communities we serve and the customers we work with. We foster an inclusive environment that values all backgrounds and perspectives, emphasizing collaboration and belonging. Join us in our mission to make doing business seamless and secure.

Our Benefits program is one of the most important ways we support our employees. Zscaler proudly offers comprehensive and inclusive benefits to meet the diverse needs of our employees and their families throughout their life stages, including:

• Various health plans
• Time off plans for vacation and sick time
• Parental leave options
• Retirement options
• Education reimbursement
• In-office perks, and more!

Learn more about Zscaler’s hybrid working model and benefits here.