Software Engineering Architect, Machine Learning
Zscaler, Inc. (company site, opens in a new tab)12+ yrsBengaluruOn-siteDirect career pageEst. 60–95 LPA
Posted 1h ago
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Job description
Structured overview of role & requirements
About This Role
- Architect and build a scalable, fault-tolerant, low-latency platform for enterprise AI agents, including multi-agent collaboration, tool execution, contextual intelligence, and automated workflows.
- Set reusable architecture patterns and engineering standards; remain hands-on with production code, prototypes, critical implementations, and complex troubleshooting.
- Drive technical alignment across teams and mentor engineers through technical influence. Role is based in Bengaluru; the JD indicates a hybrid model.
Minimum Requirements
- Work Experience Required: 12+ years in software engineering.
- Bachelor’s degree in Computer Science or a related technical field, or equivalent practical experience.
- Hands-on experience developing and deploying production-grade AI agents, LLM-powered systems, or intelligent orchestration platforms.
- Expertise in distributed systems, networking, concurrency, cloud-native backend architecture, and large-scale platform operations; proficiency in Python, Java, Go, or Rust; demonstrated architectural trade-off decisions across performance, fault tolerance, multi-tenant isolation, and operational complexity.
Ideal Candidate Profile
- Has built and operated complex distributed systems under demanding enterprise workloads and can combine architecture ownership with hands-on production engineering.
- Strongest fit for candidates with advanced agentic AI experience, such as multi-agent orchestration, A2A communication, tool-calling protocols, MCP, state management, or LLM evaluation architectures.
- More competitive with experience scaling foundational platforms or developer frameworks across teams, and domain knowledge in enterprise cybersecurity, zero trust, or multi-tenant data isolation.