AI Operations Engineer
Cisco (company site, opens in a new tab)5+ yrsBengaluruOn-siteDirect career pageEst. 30–50 LPA
Posted on 4 Sept
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Job description
Structured overview of role & requirements
About This Role
- Design, build, and operate autonomous and semi-autonomous AI agents for commerce operations, managing full lifecycle from design to deployment and monitoring.
- Translate ambiguous operational needs into reliable multi-step agent workflows integrating LLM reasoning, tool and function calling, retrieval, and enterprise platform APIs.
- Collaborate with cross-functional AI teams to deliver intelligent, automated workflows that optimize operational performance and support Cisco's AI-first strategy.
Minimum Requirements
- Bachelor’s degree in Computer Science, Data Engineering, AI/ML, or related technical field or equivalent practical experience.
- 5+ years of advanced proficiency in Python and SQL with production-grade data and AI solution deployment experience.
- 2+ years of proven experience building and deploying LLM-powered or agentic AI applications in production, with hands-on usage of frameworks like LangChain, LangGraph, AutoGen, or equivalent.
- Deep technical knowledge of Snowflake Data Cloud, especially Cortex AI functions and secure data sharing; demonstrated experience with API integrations (REST/GraphQL, webhooks, authentication).
Ideal Candidate Profile
- Experienced in architecting multi-agent systems with human-in-the-loop workflows and agent guardrails for enterprise use cases.
- Skilled in agent orchestration and interoperability using modern frameworks and protocols such as A2A and MCP for scalable, reliable AI agent communication.
- Strong operational focus with capabilities in monitoring AI performance metrics (LLM drift, hallucination), CI/CD pipeline ownership, and cost-optimized AI workload management in cloud environments.