Software Microservices Platform Engineering Lead, AI & Agentic AI Architect

Cisco

Confirmed live yesterday High trust
Closes in 7 days Hybrid

Quick summary

Work type
Hybrid
Location
Milpitas, CA
Salary
$214,100–$309,800 / yr
Posted
2 days ago
Freshness
Confirmed live yesterday
Closes
Sep 25, 2026 (soon)

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $212k
This role $262k
$152k most similar roles pay here $327k

This role pays more than 87% of similar roles. Most pay $177,187–$246,150 — the shaded band above. At the midpoint, this role pays about $262k versus about $212k for comparable roles.

Based on 240 similar postings.

Employer

About Cisco

Cisco Systems is the world''s leading networking technology company, designing and manufacturing networking hardware, telecommunications equipment, and cybersecurity solutions for businesses and governments. Industry: Networking Technology & Cybersecurity

Cisco currently has 177 open roles on FindRole.

Listed pay typically runs $167,700–$245,200 across 177 roles with salary data.

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At a glance

TL;DR · Software Microservices Platform Engineering Lead, AI & Agentic AI Architect

Software Microservices Platform Engineering Lead/ AI & Agentic AI Architect joins the DevNet team to build cloud-native platforms and production-grade AI capabilities. This role involves architecting and building agentic AI solutions, including agent orchestration, tool integration, retrieval augmented generation, and autonomous workflows. The individual will design and operate secure microservice applications on AWS and Kubernetes while establishing architectural patterns for wider adoption. Key responsibilities include leading design and code reviews and mentoring engineers to scale technical judgment. Required skills include proficiency in Python, Java, Go, or JavaScript/TypeScript, along with experience in containerized workloads and large language models. The role focuses on transforming emerging agentic technology into dependable products by implementing security-first approaches across application, API, container, identity, and data layers while ensuring reliable performance through guardrails and observability for enterprise systems.

What you'll do

  • Architect and build production-ready AI solutions including agent orchestration, tool integration, and retrieval augmented generation (RAG).
  • Design and operate secure microservice applications on AWS and Kubernetes using a security-first approach.
  • Establish architectural patterns and engineering practices to improve the quality and speed of AI delivery across teams.
  • Implement guardrails, policy enforcement, and observability for agentic systems in production environments.
  • Lead design and code reviews to ensure high-quality technical execution.
  • Mentor engineers and influence architecture decisions across organizational boundaries to scale technical judgment.

What we're looking for

  • Bachelor's degree with 11+ years experience, Master's with 7+ years, or PhD with 3+ years of related experience.
  • 8+ years of professional software engineering experience using Python, Java, Go, or JavaScript/TypeScript.
  • 5+ years of experience designing, deploying, and operating microservice-based applications on AWS, GCP, or Azure.
  • 3+ years of experience running containerized workloads in a production Kubernetes environment.
  • 2+ years of hands-on experience building applications with generative AI or LLMs, including RAG, embeddings, or tool calling.
  • Master's degree in Computer Science, Engineering, or Artificial Intelligence and Machine Learning (preferred).
  • Experience building enterprise-scale agentic AI platforms, including agent orchestration and multi-agent workflows (preferred).
  • Experience with agent frameworks like LangGraph, LangChain, Model Context Protocol, or Semantic Kernel (preferred).

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