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Zscaler is seeking a Principal AI Engineer to design and evolve the foundational AI platform powering Customer Success AI products and internal-facing AI solutions. This remote role reports to the Director of Customer Success Intelligence & Automation and focuses on building reusable platform capabilities rather than individual products.
Key responsibilities include designing and scaling the Customer Success AI platform with reusable services and reference architectures supporting multiple AI products. You will build and maintain foundational AI infrastructure including orchestration services, context engines, memory services, workflow execution frameworks, enterprise integrations, and scalable architectures for multi-agent systems. The role requires optimizing platform capabilities across model routing, latency, cost, reliability, observability, governance, and security to ensure enterprise-grade performance and resilience.
You will lead technical architecture and engineering standards across multiple AI products, mentoring AI Engineers and driving engineering excellence through reusable frameworks and patterns. Cross-functional partnership is essential—you'll work with Product Management, Engineering, IT, Security, Data, and Customer Success teams to evaluate emerging AI technologies, shape adoption strategy, and align platform evolution with long-term business needs.
Zscaler is an AI-forward enterprise leveraging the world's largest security data lake to power its cloud-native Zero Trust Exchange platform. The company culture emphasizes impact over activity, constructive debate, customer obsession, collaboration, ownership, and accountability. The ideal candidate thrives in ambiguity, thinks at scale, acts like an owner, collaborates at high trust, and is driven by innovation.
Minimum qualifications include foundational understanding of AI/ML technologies with experience leveraging, securing, or positioning AI-driven solutions. You should demonstrate curiosity and active exploration of AI tools with proven history of integrating new technologies. The role requires 10+ years of software engineering experience, including 4+ years building production AI or machine learning systems.
