AI Platform Architect & Agentic Microservices Lead

020 Cisco Systems, Inc.

San Jose (CA)

On-site

USD 214,000 - 310,000

Full time

8 days ago
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Benefits offered by this job

Medical, dental, and vision insurance
401(k) with company match

Job summary

Cisco Systems, Inc. is seeking a senior software engineer to architect and deliver AI/agentic AI solutions in production. You will design secure microservices on AWS and Kubernetes, mentor engineers, and drive architectural patterns that scale across teams.

The role requires extensive production experience with Python/Java/Go/JS/TS, plus hands‑on work with RAG, embeddings, and tool calling. A strong security mindset and leadership in design reviews are essential.

Qualifications

  • Bachelor’s degree or higher in CS or related field; 11+ years of experience for senior roles.
  • Proven production software engineering experience with Python/Java/Go/JS/TS.
  • 5+ years building microservice apps on AWS/GCP/Azure in production environments.
  • 3+ years running Kubernetes in production and building AI-enabled systems.

Responsibilities

  • Architect and build AI/agentic AI solutions, including agent orchestration and tool integration.
  • Design secure microservice apps on AWS and Kubernetes with security-first mindset.
  • Lead design and code reviews; mentor engineers and propagate best practices.
  • Deliver production AI systems with guardrails, reliability metrics, and reusable patterns.

Skills

Python
Java
Go
JavaScript/TypeScript
AWS
GCP
Azure
Kubernetes
RAG

Education

Bachelor's degree in Computer Science or related field

Tools

LangGraph
LangChain
Semantic Kernel
Model Context Protocol

Job description

Cisco Systems, Inc. is seeking a senior software engineer to architect and deliver AI/agentic AI solutions in production. You will design secure microservices on AWS and Kubernetes, mentor engineers, and drive architectural patterns that scale across teams.

The role requires extensive production experience with Python/Java/Go/JS/TS, plus hands‑on work with RAG, embeddings, and tool calling. A strong security mindset and leadership in design reviews are essential.

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