AI Operations Engineer

Cisco
Bengaluru
Workplace: HybridFull timeFunction: Data Science & Machine LearningExperience: 5+ yearsEducation: bachelorsSkills: ["Collaborate effectively","Self-starter","Drive technical delivery","Monitor and optimize","Ensure reliability"]

Design, build, and operate autonomous and semi-autonomous AI agents for Cisco’s commerce operations. Translate ambiguous operational needs into reliable multi-step agent workflows using LLM reasoning, tool/function calling, retrieval, and commerce/enterprise integrations. Own the full lifecycle—from guardrails and RAG pipelines to API and A2A interoperability—while evaluating, monitoring, and deploying LLM apps in production on Snowflake using CI/CD best practices.

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FursaFursa
Cisco
Cisco
1 day ago

AI Operations Engineer

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Source: Company careers pageValidated by: Fursa AI
Last checked: 17 hours agoStatus: Live

Job Summary

Design, build, and operate autonomous and semi-autonomous AI agents for Cisco’s commerce operations. Translate ambiguous operational needs into reliable multi-step agent workflows using LLM reasoning, tool/function calling, retrieval, and commerce/enterprise integrations. Own the full lifecycle—from guardrails and RAG pipelines to API and A2A interoperability—while evaluating, monitoring, and deploying LLM apps in production on Snowflake using CI/CD best practices.
Location: Bengaluru
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Architect and build production AI agents, including multi-agent and human-in-the-loop workflows, to automate commerce operations.
  • •Implement agent orchestration with modern frameworks and design robust tool/function calling, planning, and state management.
  • •Build API integrations and agent-to-agent (A2A) interoperability to connect agents with commerce platforms and enterprise data sources.
  • •Manage the end-to-end lifecycle of LLM-powered applications on Snowflake Cortex, including model selection, deployment, versioning, and monitoring in production.
  • •Build and tune retrieval-augmented generation (RAG) pipelines and monitoring/guardrails to ensure reliability, cost control, and safe behavior.

Key Requirements

  • •Bachelor’s degree in Computer Science, Data Engineering, AI/ML, or a related technical field (or equivalent practical experience).
  • •5+ years of advanced proficiency in Python and SQL, building, testing, and deploying production-grade data and AI solutions.
  • •Deep understanding of Snowflake Data Cloud, especially Cortex AI functions and secure data sharing.
  • •2+ years building and deploying LLM-powered or agentic AI applications in production.
  • •Hands-on experience with LLM/agent frameworks (e.g., LangChain, LangGraph, AutoGen, CrewAI) plus CI/CD, version control (Git), automated testing, and API/system integrations.
Experience:5+ yearsAIData engineeringLLMAgentic AIEnterprise systems
Education:Bachelor's
Skills:Collaborate effectivelySelf-starterDrive technical deliveryMonitor and optimizeEnsure reliability
Tech Stack:PythonSQLLangGraphLangChainAutoGenCrewAIOpenAI SDKAnthropic SDKRESTGraphQLWebhooksAuthenticationGitCI/CDSnowflakeSnowflake CortexSnowflake Native AppsStored ProceduresRAGVector databases

Company Brief

Cisco
Global technology company that designs, manufactures, and sells networking hardware, telecommunications equipment, and high-technology services and products for enterprises, service providers, and governments worldwide.
Industry: Networking Equipment
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: San Jose, United States
Founded: 1984
Glassdoor
Glassdoor: 4.0
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