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# Architect - AI / Agentic Automation

- **Company:** Cisco Systems, Inc.
- **Location:** San Jose, CA, United States
- **Experience:** Expert
- **Salary:** $186,900.0 - $267,700.0
- **Contract:** Permanent contract
- **Skills:** .NET Framework, LTE (Telecommunication), Application Programming Interfaces (APIs), Artificial Intelligence, User Authentication, Cloud Computing, Databases, Continuous Integration, Distributed Systems, Python (Programming Language), PostgreSQL, Routing, Node.Js, Redis, Software Engineering, Data Streaming, Systems Integration, TypeScript, Rust (Programming Language), ReactJS, Large Language Models, Multi-Agent Systems, Generative AI, Backend, Event Driven Architecture, Containerization, Kubernetes, Infrastructure Automation Frameworks, Apache Kafka, Virtual Agents, Open Network Automation Platform, Cisco, Docker
- **Published:** August 29, 2026
- **Apply:** https://jobs.localjobnetwork.com/apply/add/88169405/1

## About the Role

* Bachelor's degree in STEM, 8+ years of software engineering experience designing and building complex backend, distributed, automation, or platform systems.
 * Experience with Python Go, Rust, TypeScript, React, Node.js, .NET, PostgreSQL, Redis, Kafka, or similar technologies.
 * Experience designing distributed systems using APIs, databases, event-driven architectures, workflow systems, or cloud-native technologies.
 * Experience developing or architecting Generative AI, LLM, Agentic AI, MCP, A2A, or AI-enabled automation systems.
 * Experience with Kubernetes, Docker, CI/CD, cloud platforms, and production software operations.
 * Experience designing advanced multi-agent architectures, including planner/executor patterns, agent handoffs, state management, checkpointing, retries, cancellation, or durable workflows., * Experience designing AI quality, evaluation, observability, and governance frameworks.
 * Experience with network automation, device connectivity, validation platforms, infrastructure automation, or enterprise network systems.
 * Experience leading architecture across multiple engineering teams and influencing technical strategy, standards, and platform roadmaps.
 * Experience architecting MCP and A2A systems, including capability discovery, tool schemas, authentication, context propagation, streaming, approval gates, auditability, and failure handling.

## Description

Define and drive the architecture for AI decision systems, Agentic AI platforms, and enterprise-scale validation and automation capabilities within Cisco IQ and Validation. Establish technical direction for agent architectures, MCP and A2A integrations, agent routing, tool orchestration, workflow execution, approval-gated actions, and distributed event-driven systems. Guide architecture across backend services, APIs, databases, Kubernetes, cloud infrastructure, observability, and production operations to ensure solutions are scalable, secure, reliable, and maintainable. Drive technical alignment across Engineering, Product, UX, Security, Infrastructure, QA, and partner teams and provide technical leadership for complex, ambiguous, cross-functional initiatives. Mentor senior engineers and technical leads while influencing platform strategy, engineering standards, and the long-term evolution of Validation.


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