AI Operations Engineer
Core
Design, build, and operate autonomous and semi-autonomous AI agents to automate Cisco's commerce operations and orchestrate complex workflows.
Role type
Senior IC AI Operations Engineer (Agentic AI)
Builds
Production-grade multi-agent systems, agent-to-agent (A2A) integrations, and RAG pipelines for commerce platforms.
Domain
Commerce operations, Agentic AI, LLMOps
Deliverable
production ML models | product features
Required skills
Python, SQL, LLM/agent frameworks (LangChain, LangGraph, AutoGen, CrewAI), RAG, prompt engineering, API integrations, CI/CD, Snowflake Cortex, vector databases
Preferred skills
Agent interoperability standards (A2A, MCP), multi-agent system design, agent evaluation/observability, cloud platforms (AWS, GCP, Azure), FinOps
Technologies
Snowflake, LangGraph, LangChain, AutoGen, CrewAI, REST/GraphQL, Git, Vector databases
Responsibilities
Architect and build production AI agents with multi-agent and human-in-the-loop workflows; Implement agent orchestration with modern frameworks; Build agent-to-agent (A2A) integrations; Design and implement API integrations; Manage end-to-end lifecycle of LLM-powered applications using Snowflake Cortex; Build and tune RAG pipelines; Build automated monitoring mechanisms for LLM drift and hallucination; Manage and optimize Snowflake credit consumption; Design guardrails and human-in-the-loop gates; Apply prompt engineering and context engineering; Own the AI/ML CI/CD pipeline.
Seniority
Senior, hands-on IC