AI Operations Engineer

Cisco Systems, Inc.; Bengaluru; On-site; INR 1,500,000 - 2,300,000; Full time

Job summary

Cisco Systems, Inc. in Bengaluru (India) seeks an AI Engineer to design, build, and operate autonomous and semi-autonomous agents powering Cisco's commerce operations.

You will translate complex requirements into reliable multi-step agent workflows, integrating with enterprise systems via robust API connections and A2A integrations. You will own the AI/ML CI/CD lifecycle, apply prompt engineering, and collaborate with global teams to deliver scalable, secure AI solutions that drive operational

Qualifications

• Bachelor’s degree in Computer Science, Data Engineering, AI/ML, or related field, or equivalent practical experience.
• 5+ years of advanced proficiency in Python and SQL, with proven experience building, testing, and deploying production-grade data and AI solutions.
• Deep technical understanding of the Snowflake Data Cloud especially Cortex AI functions and secure data sharing.
• 2+ years of proven experience building and deploying LLM-powered or agentic AI applications in production.
• Strong proficiency in Python and hands-on experience with LLM/agent frameworks (e.g., LangChain, LangGraph, AutoGen, CrewAI, or OpenAI/Anthropic SDKs).
• Experience with CI/CD practices, version control (Git), and automated testing frameworks in an enterprise environment.
• 2+ years of practical experience with RAG, prompt engineering, and tool/function calling.
• Demonstrated experience in API integrations and systems integration (REST/GraphQL, event-driven services, authentication, enterprise data sources).
• Experience designing or implementing agent-to-agent (A2A) integrations or multi-agent communication and orchestration.
• Ability to drive technical delivery and collaborate effectively across cross-functional teams.

Responsibilities

• Architect and build production AI agents — including multi-agent and human-in-the-loop workflows — that automate commerce operations.
• Implement agent orchestration with modern frameworks (e.g., LangGraph, LangChain, AutoGen, CrewAI) including robust tool/calling and state management.
• Build agent-to-agent (A2A) integrations and interoperability using emerging standards, enabling coordination and handoffs.
• Design and implement API integrations— REST/GraphQL, event-driven services, authentication, and rate limiting.
• Manage end-to-end lifecycle of LLM-powered applications from model selection to deployment and decommissioning.
• Architect robust agentic workflows using Snowflake Native Apps and Stored Procedures with sophisticated tool-calling and state management.
• Build and tune Retrieval-Augmented Generation (RAG) pipelines and vector databases for fast search and retrieval.
• Create monitoring for LLM drift, hallucinations, and token usage with self-healing alerts and retraining routes.
• Manage Snowflake credit consumption with auto-scaling, profiling, and multi-cluster strategies for cost-efficiency.
• Design guardrails and human-in-the-loop gates for sensitive actions and reliable routing.

Skills

Python

SQL

LLM frameworks

CI/CD

Git

API integrations

RAG

Prompt engineering

Agent orchestration

Education

Bachelor's degree in CS/EE/AI or related field

Tools

Snowflake Cortex

LangChain

LangGraph

AutoGen

CrewAI

OpenAI/Anthropic SDKs

REST/GraphQL

Git

Docker

Job description

Meet the Team

Join Cisco's Commerce Intelligence Data & Analytics team, a pivotal group delivering seamless intelligence, advanced analytics, and cutting-edge agentic experiences across our business operations. Our mission is to build a scalable, unified, and AI-ready data foundation that drives high-impact business decisions and automated Agentic actions. As a specialized team of engineers and operational experts, we move beyond traditional maintenance to solve complex, large-scale commerce challenges with agentic AI. We achieve this by blending innovation, deep process knowledge, technical expertise, and a relentless focus on business impact, ultimately enhancing operational efficiency and data-driven decision-making at scale.

Your Impact

As an AI Engineer, you will design, build, and operate the autonomous and semi-autonomous agents that power Cisco's commerce operations. You will translate ambiguous operational requirements into reliable multi-step agent workflows — orchestrating LLM reasoning, tool and function calling, retrieval, and integrations into commerce platforms and operational systems. You will be responsible for the full lifecycle: designing the agent and its guardrails, grounding it with retrieval, connecting it to enterprise systems through robust API and agent-to-agent (A2A) integrations, evaluating its behavior, and deploying and monitoring it in production by collaborating with extended team across various time zones. You will partner with cross-functional AI teams to identify high-value opportunities and deliver intelligent, automated workflows that optimize performance and drive durable growth. This role is a pillar to our operational strategy and to Cisco's AI-first vision.

Responsibilities

• Architect and build productionAI agents— including multi-agent and human-in-the-loop workflows — that automate commerce operations. Work in partnership and guidance from the core team at onsite

• Implementagent orchestrationwith modern frameworks (e.g., LangGraph, LangChain, AutoGen, CrewAI, or equivalent), designing robust tool/function-calling, planning, and state management.

• Buildagent-to-agent (A2A) integrationsand interoperability using emerging standards and protocols (e.g., A2A, MCP), enabling agents to delegate, coordinate, and hand off work reliably.

• Design and implementAPI integrations— REST/GraphQL, event-driven and webhook-based services, authentication, rate limiting, and resilient error handling — to connect agents with commerce platforms and enterprise data sources.

• Manage the end-to-end lifecycle of LLM-powered applications using Snowflake Cortex, from model selection and fine-tuning to deployment, versioning, and decommissioning.

• Architect robust agentic workflows using Snowflake Native Apps and Stored Procedures, implementing sophisticated tool-calling, planning, and state management that ensures seamless execution across complex operational tasks.

• Build and tuneretrieval-augmented generation (RAG)pipelines over documents, structured data, and knowledge repositories. Implement and maintain low-latency vector databases, semantic search architectures, and Retrieval-Augmented Generation (RAG) pipelines using native vector data types and search functions.

• Build automated monitoring mechanisms to track LLM drift, hallucination rates, and token usage, triggering self-healing alerts and automated model retraining or routing workflows.

• Proactively manage and optimize Snowflake credit consumption for AI workloads; implement warehouse auto-scaling, query profiling, and multi-cluster strategies to ensure cost-efficiency at scale.

• Designguardrails and human-in-the-loop gatesfor sensitive actions, and implement LLM routing and failover for reliability and cost control.

• Applyprompt engineeringand context engineering to make agent behavior accurate, safe, and consistent under real operational conditions.

• Own the AI/ML CI/CD pipeline, ensuring rigorous version control, automated testing, and progressive rollout of AI models and agentic workflows across development, staging, and production environments.

• A self-starter with proven expertise to deliver outcomes with minimal supervision

Minimum Qualifications

• Bachelor’s degree in Computer Science, Data Engineering, AI/ML, or a related technical field, equivalent practical experience.

• 5+ Years of Advanced proficiency in Python and SQL, with proven experience building, testing, and deploying production-grade data and AI solutions.

• Deep technical understanding of the Snowflake Data Cloud especially Cortex AI functions and secure data sharing.

• 2+ years of Proven experience building and deployingLLM-powered or agentic AI applicationsin production.

• Strong proficiency inPythonand hands-on experience with LLM/agent frameworks (e.g., LangChain, LangGraph, AutoGen, CrewAI, or the OpenAI/Anthropic SDKs).

• Experience with CI/CD practices, version control (Git), and automated testing frameworks in an enterprise environment.

• 2+ years of Practical experience withRAG, prompt engineering, and tool/function calling.

• Demonstrated experience inAPI integrations and systems integration(REST/GraphQL, event-driven services, authentication, enterprise data sources).

• Experience designing or implementingagent-to-agent (A2A) integrationsor multi-agent communication and orchestration.

• Ability to drive technical delivery and collaborate effectively across cross-functional teams.

Preferred Qualifications

• Experience withagent interoperability standards and protocols(e.g., A2A, Model Context Protocol (MCP), OpenAPI-driven tool integration).

• Experience designingmulti-agent systems, human-in-the-loop workflows, and agent guardrailsfor enterprise use.

• Experience withagent evaluation and observability(eval harnesses, tracing, LLMOps/AgentOps tooling such as LangSmith, Langfuse, or equivalent).

• Experience withvector databases and advanced/multimodal retrieval(e.g., hybrid search, reranking, knowledge-graph grounding).

• Experience withcloud platforms(Snowflake, AWS, GCP, or Azure) and MLOps/LLMOps practices, including cost-aware LLM routing and FinOps.

• Understanding ofcommerce platforms or supply chain operations.

Why Cisco?

At Cisco, we’re revolutionizing how data and infrastructure connect and protect organizations in the AI era – and beyond. We’ve been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint.

Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you’ll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere.

We are Cisco, and our power starts with you.