AI Operations Engineer

Team Overview

Your Impact

Responsibilities

• Build production AI agents and multi-agent or human-in-the-loop workflows.
• Implement orchestration, planning, state management, tool calling, and A2A integrations.
• Connect agents to commerce platforms and enterprise data through resilient APIs and event-driven services.
• Manage Snowflake Cortex applications and Snowflake Native Apps across their lifecycle.
• Build RAG, semantic search, vector database, monitoring, routing, and failover capabilities.
• Optimize Snowflake costs and own AI/ML CI/CD, testing, versioning, and progressive rollout.

Minimum Qualifications

• Bachelor's degree in a relevant technical field or equivalent practical experience.
• At least 5 years of advanced Python and SQL experience delivering production data and AI solutions.
• Deep Snowflake Data Cloud knowledge, including Cortex AI functions and secure data sharing.
• At least 2 years building and deploying production LLM-powered or agentic AI applications.
• Experience with LLM or agent frameworks, enterprise CI/CD, Git, and automated testing.
• At least 2 years of experience with RAG, prompt engineering, and tool or function calling.
• Experience with REST or GraphQL APIs, event-driven services, authentication, and enterprise integrations.
• Experience with A2A integrations or multi-agent orchestration.
• Ability to drive technical delivery and collaborate across functions.

Preferred Qualifications

• Experience with A2A, MCP, OpenAPI-driven tools, agent evaluation, or observability tooling.
• Experience with multi-agent systems, human-in-the-loop workflows, and enterprise guardrails.
• Experience with vector databases, multimodal retrieval, cloud platforms, MLOps, LLMOps, or FinOps.
• Understanding of commerce platforms or supply chain operations.

Why Cisco