Zscaler Senior Staff AI Engineer at Zscaler leading AI Platform and AI Solutions teams. Responsible for architecting enterprise AI platform capabilities and driving production-grade AI applications.
Responsibilities
Architect and scale enterprise AI platform capabilities, including model gateways, intelligent routing, cost governance, LLM observability, evaluation pipelines, and long-term agent memory
Direct technical execution for AI solutions and support, spearheading enterprise AI platform administration, intelligent search experiences, and scalable L2 operational support frameworks
Lead distributed engineering teams across the US and India, aligning roadmap priorities, conducting technical reviews, and fostering seamless communication across time zones
Establish engineering excellence and production AI quality gates, overseeing hands-on code development, CI/CD pipelines, regression suites, and latency and cost optimization
Partner with cross-functional stakeholders in Security, Legal, Privacy, and enterprise business units to ensure compliant, secure, and impactful AI enablement
Qualification
What Will Make You Stand Out
Required
You are a seasoned technical leader who thrives at the intersection of enterprise architecture, distributed team leadership, and hands-on software engineering.
You possess deep technical breadth in architecting production-grade LLM applications, retrieval-augmented generation systems, and comprehensive AI evaluation frameworks.
You are an operational driver with a proven track record of reducing systemic friction, resolving production incidents, and automating support processes.
You excel at bridging time zones and cultures, empowering both internal engineers and external partners through empathetic mentorship and clear technical guidance.
You are an articulate communicator and collaborative partner who seamlessly aligns technical strategy with executive stakeholders across business, security, and governance functions.
Demonstrated hands-on experience building and deploying production-grade AI/LLM applications, including prompt engineering, retrieval-augmented generation (RAG), agents, function calling/MCP, and model evaluation or observability frameworks
8+ years of professional software engineering experience, with a Bachelor's or Master's degree in Computer Science, Engineering, or equivalent practical experience
3+ years of technical leadership experience guiding distributed engineering teams and external contractors across multiple time zones
Proficiency in full-stack development utilizing Python, TypeScript/Node.js (or Java/Go), modern front-end frameworks like React, and robust API design
Hands-on expertise in cloud and containerized infrastructure, including AWS (or GCP/Azure), Docker, Kubernetes, and automated CI/CD deployment pipelines
Proven background operating production enterprise services, including incident response, on-call management, runbook development, and SLA governance
