AI Operations Engineer

Cisco

Confirmed live today High trust
Hybrid

Quick summary

Work type
Hybrid
Location
Raleigh, NC
Salary
$169,800–$214,800 / yr
Posted
2 days ago
Freshness
Confirmed live today
Closes
Oct 9, 2026

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $168k
This role $192k
$103k most similar roles pay here $227k

This role pays more than 72% of similar roles. Most pay $139,500–$196,750 — the shaded band above. At the midpoint, this role pays about $192k versus about $168k 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 193 open roles on FindRole.

Listed pay typically runs $167,700–$245,200 across 193 roles with salary data.

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View all roles at Cisco

At a glance

TL;DR · AI Operations Engineer

As an AI Operations Engineer within the Commerce Operations Engineering Center, you will join a dynamic team focused on transforming complex operational challenges into reliable, scalable AI solutions. You will design, build, and operate production-ready AI agents to automate manual commerce operations tasks by orchestrating LLM reasoning, tool calling, and retrieval systems. Your daily work involves developing RAG pipelines, implementing agent-to-agent communication using standards like A2A and MCP, and managing the full lifecycle of deployment including CI/CD, monitoring, and guardrail implementation. You will utilize Python along with frameworks such as LangChain, LangGraph, AutoGen, or CrewAI to build robust systems. Key technical requirements include expertise in REST, GraphQL, and event-driven services, alongside proficiency in prompt engineering and evaluation tools like LangSmith or Langfuse to ensure high-quality, secure automated workflows within the commerce domain.

What you'll do

  • Design and build production-ready AI agents to automate manual and repetitive commerce operations tasks.
  • Implement agent orchestration using frameworks such as LangGraph, LangChain, AutoGen, or CrewAI.
  • Build agent-to-agent integrations using standards like A2A and MCP for reliable coordination and delegation.
  • Develop secure API integrations with enterprise data sources using REST, GraphQL, and event-driven services.
  • Build and optimize retrieval-augmented generation (RAG) pipelines using structured data and knowledge repositories.
  • Implement guardrails, human approval gates, and LLM routing to ensure safety and cost control.
  • Create evaluation and observability capabilities including tracing, audit logging, and quality regression detection.
  • Manage deployment operations including CI/CD, model versioning, and monitoring of business impact metrics.

What we're looking for

  • Must have 7+ years of experience in software engineering or a related field within an enterprise environment.
  • Must have experience building and deploying LLM-powered or agentic AI applications in production.
  • Must possess strong Python skills and experience with frameworks like LangChain, LangGraph, AutoGen, CrewAI, or equivalents.
  • Must have practical expertise in RAG, prompt engineering, tool/function calling, and agent orchestration.
  • Must have experience with API and system integrations including REST, GraphQL, and event-driven services.
  • Must demonstrate the ability to lead technical delivery and collaborate with multi-functional teams.
  • Experience with agent interoperability standards (A2A, MCP) and enterprise-grade multi-agent systems (preferred).
  • Advanced degree in AI, Machine Learning, Computer Science, or a related field (preferred).

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