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Tier-1 brand, mid-level generalist AI role, metro location, and broad LLM/ops requirements increase competition.
Specialized LLMOps, Snowflake Cortex, and commerce integrations limit straightforward cross-industry transferability to a moderate degree.
Explicit 5+ years plus mandatory Snowflake Cortex, LLM production, and specialized tool requirements make shortlisting strict.
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.
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).
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.