Zscaler - Principal AI Engineer

• You thrive in ambiguity. You're comfortable building the path as you walk it. You thrive in a dynamic environment, seeing ambiguity not as a hindrance, but as the raw material to build something meaningful. • You think at scale. You connect your day-to-day work to the larger company mission and think globally. You build solutions, processes, and teams that are not just effective today but are built to last and support a high-growth, global organization. • You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. You adapt to what’s needed, navigating seamlessly between high-level strategy and hands-on execution. • You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback—knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust. • You are driven by innovation. You have a deep curiosity for how things work and are energized by solving complex technical challenges. You believe in the power of technology to accelerate transformation and are always looking for a better, more secure, and scalable way. • Foundational understanding of AI/ML technologies and experience leveraging, securing, or positioning AI-driven solutions to optimize outcomes within your functional domain • Demonstrated curiosity and active exploration of AI tools, with a proven history of integrating new technologies to enhance daily workflows and augment problem-solving • 10+ years of software engineering experience, including 4+ years building production AI or machine learning systems • Deep expertise in distributed systems, cloud-native architectures, and enterprise-scale software design • Strong understanding of AI agents, LLM orchestration, RAG, planning systems, and enterprise AI architecture patterns • Experience designing reusable platforms and defining technical architecture across multiple products or engineering teams • Strong leadership, mentoring, communication, and systems thinking skills, with the ability to influence technical direction in complex environments • Experience building autonomous agentic loops with advanced memory architectures and state management frameworks for long-running enterprise workflows • Experience designing enterprise AI platforms and building reusable capabilities that support multiple AI products from a common foundation • Experience building multi-agent orchestration frameworks and integrating enterprise tools through APIs and MCP servers • Experience with semantic models, enterprise memory, vector search, knowledge graphs, and other advanced knowledge system patterns • #LI-NH1 #LI-Remote • Zscaler’s salary ranges are benchmarked and are determined by role and level. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations and could be higher or lower based on a multitude of factors, including job-related skills, experience, and relevant education or training. • The base salary range listed for this full-time position excludes commission/ bonus/ equity (if applicable) + benefits. • $185,500—$265,000 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. • By applying for this role, you adhere to applicable laws, regulations, and Zscaler policies, including those related to security and privacy standards and guidelines.