Sr. Staff Software Development 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 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. Role We are looking for a Staff Applied AI Engineer to join our team. This is an On-site (San Jose, California) or Remote (US) role, reporting to the Manager, Applied AI Engineering in the IT/Data Strategy department. The Staff Applied AI Engineer is a senior, hands-on AI builder embedded with business teams to turn ambiguous, high-stakes ideas into secured, production-grade solutions. Beyond engineering, this person acts as a trusted transformation advisor — running discovery with business leaders, shaping roadmaps, guiding Build/Partner/Buy decisions, and building alongside stakeholders. They also improve and expand the technical implementations, standards, and engineering playbooks the rest of the Applied AI team relies on, keeping the team's deliverables aligned with current best practices. What you’ll do (Role Expectations) Partner with business leaders and product owners from discovery through delivery to map workflows, identify high-value AI opportunities, shape roadmaps, and advise on technical feasibility, cost, and risk Design and ship secure, production-grade AI solutions across retrieval-augmented generation, structured data querying, unstructured data mining, and agentic workflows, integrating them with core systems of record Bring a product-ownership mindset to deployments by establishing monitoring and evaluation frameworks, implementing least-privilege access, and managing ROI, cost attribution, and support plans Set engineering standards by expanding reusable building blocks, reference architectures, skills, and engineering playbooks while mentoring team members Who You Are (Success Profile) You thrive in ambiguity and view dynamic, complex environments as opportunities to build meaningful solutions from the ground up. You act like an owner with a strong bias for action, operating with integrity and navigating seamlessly between high-level strategy and hands-on…