Software Engineering Architect, Machine Learning

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 an exceptional hands-on architect and engineering leader to shape the next generation of enterprise agentic AI platforms at Zscaler in Bengaluru, India. Operating at the critical intersection of distributed systems, agentic AI, cloud infrastructure, and enterprise security, you will play a pivotal role in architecting and delivering an intelligent, production-grade platform that enables autonomous agents to reason, collaborate, leverage enterprise context, and execute secure actions across our global ecosystem.

What you’ll do (Role Expectations)

• Architect and implement highly scalable, fault-tolerant, and low-latency distributed platforms powering enterprise AI agents
• Advance agentic AI capabilities, including production-grade multi-agent collaboration, tool execution, contextual intelligence, and automated workflows
• Establish reusable architectural patterns, foundational frameworks, and engineering standards across the organization
• Maintain a hands-on technical approach by writing production code, building prototypes, leading critical technical implementations, and troubleshooting complex systems
• Drive technical alignment and mentor engineering talent across teams without relying on hierarchical authority

Who You Are (Success Profile)

• You are a builder at heart and an architect by experience who seamlessly bridges visionary design with hands-on production engineering.
• You possess a proven track record of designing, building, and operating complex distributed systems that scale reliably under demanding enterprise workloads.
• You demystify complex technical challenges for those around you, making sophisticated AI and distributed systems simple, accessible, and robust.
• You lead through influence and positive energy, elevating team standards and inspiring cross-functional collaboration across engineering, product, and security.
• You bring intellectual curiosity and humility to your craft, cutting through industry hype to deliver pragmatic, high-impact technological solutions.

What We’re Looking for (Minimum Qualifications)

• Hands-on experience developing and deploying production-grade AI agents, LLM-powered systems, or intelligent orchestration platforms
• Bachelor’s degree in Computer Science, related technical field, or equivalent practical experience with 12+ years of software engineering experience
• Extensive engineering expertise in distributed systems, networking, concurrency, cloud-native backend architecture, and large-scale platform operations
• Strong programming proficiency in Python, Java, Go, or Rust with a proven track record of building production software
• Demonstrated experience evaluating and implementing architectural trade-offs across performance, fault tolerance, multi-tenant isolation, and operational complexity

What Will Make You Stand Out (Preferred Qualifications)

• Deep expertise in advanced agentic concepts such as multi-agent orchestration, agent-to-agent (A2A) communication, tool calling protocols, Model Context Protocol (MCP), state management, and LLM evaluation architectures
• Track record of successfully conceptualizing, designing, and scaling foundational platforms or developer frameworks adopted across multiple engineering teams
• Deep domain expertise in enterprise cybersecurity architectures, zero trust principles, or enterprise-grade multi-tenant data isolation

#LI-AN4 #Hybrid

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:

By applying for this role, you adhere to applicable laws, regulations, and Zscaler policies, including those related to security and privacy standards and guidelines.

Zscaler is committed to providing equal employment opportunities to all individuals. We strive to create a workplace where employees are treated with respect and have the chance to succeed. All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy or related medical conditions), age, national origin, sexual orientation, gender identity or expression, genetic information, disability status, protected veteran status, or any other characteristic protected by federal, state, or local laws. See more information by clicking on the Know Your Rights: Workplace Discrimination is Illegal link.

Pay Transparency

Zscaler complies with all applicable federal, state, and local pay transparency rules.

Zscaler is committed to providing reasonable support (called accommodations or adjustments) in our recruiting processes for candidates who are differently abled, have long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support.