Meet the Team
Join Cisco’s Commerce Operations Engineering Center (COEC) as an AI Engineer, where you will be part of a dynamic team driving innovation through AI-powered automation. Collaborate with multi-functional AI, engineering, and operations teams to transform sophisticated operational challenges into reliable, scalable AI solutions that advance Cisco’s AI-first future.
Your Impact
As an AI Engineer in COEC, you will design, build, and operate production-ready AI agents that power Cisco’s Commerce Operations. You will translate complex operational needs into automated workflows by orchestrating LLM reasoning, tool/function calling, retrieval, enterprise integrations, and agent-to-agent communication. You will be responsible for the full lifecycle of AI agent delivery—from solution design, guardrails, and system integration to evaluation, deployment, monitoring, and continuous improvement. Your work will help eliminate manual tasks, improve speed and accuracy, and drive operational excellence.
What You’ll Do
- Design and build AI agents that automate manual and repetitive Commerce Operations tasks.
- Implement agent orchestration using frameworks such as LangGraph, LangChain, AutoGen, CrewAI, or equivalent.
- Build agent-to-agent integrations using emerging standards such as A2A and MCP to enable reliable coordination and delegation.
- Design secure API integrations with commerce platforms and enterprise data sources using REST, GraphQL, webhooks, event-driven services, authentication, rate limiting, and error handling.
- Build and optimize retrieval-augmented generation (RAG) pipelines using documents, structured data, and knowledge repositories.
- Implement guardrails, human approval gates, LLM routing, and failover mechanisms to ensure reliability, safety, and cost control.
- Apply prompt and context engineering to ensure AI agents deliver accurate, safe, and consistent outcomes.
- Build evaluation and observability capabilities, including offline test sets, online monitoring, tracing, audit logging, and quality regression detection.
- Own deployment and production operations, including CI/CD, progressive rollout, rollback, monitoring, model/version control, and cost tracking.
- Supervise AI solution performance and report business impact through critical metrics such as efficiency gains, cycle-time reduction, incident reduction, and operational accuracy.
- Continuously improve AI workflows, tools, and methodologies to increase reliability, scalability, and business value.
- Partner with Commerce Operations, application development, infrastructure, and business teams to integrate AI solutions into existing systems and workflows.
Minimum Qualifications
- 7+ years of experience in software engineering or a related field within an enterprise environment.
- Shown experience building and deploying LLM-powered or agentic AI applications in production.
- Strong Python skills and tactical experience with LLM/agent frameworks such as LangChain, LangGraph, AutoGen, CrewAI, OpenAI SDK, Anthropic SDK, or equivalents.
- Practical expertise in retrieval-augmented generation (RAG), prompt engineering, tool/function calling, agent orchestration, and multi-agent communication or workflow orchestration.
- Experience with API and system integrations, including REST, GraphQL, event-driven services, authentication, and enterprise data sources.
- Demonstrated ability to lead technical delivery and collaborate effectively with multi-functional business and engineering teams.
Preferred Qualifications
- Experience with agent interoperability standards and protocols, including A2A, Model Context Protocol (MCP), and OpenAPI-based tool integration.
- Skilled in designing enterprise-grade multi-agent systems, human-in-the-loop workflows, and implementing agent guardrails.
- Validated experience with agent evaluation and observability tools such as eval harnesses, tracing, LangSmith, Langfuse, or equivalent AgentOps/LLMOps platforms.
- Knowledge of vector databases and sophisticated retrieval methods, including hybrid search, reranking, multimodal retrieval, and knowledge-graph grounding.
- Familiarity with AI governance and safety practices, including RBAC, audit logging, PII handling, and controls for high-risk automated actions.
- Experience with cloud platforms (AWS, GCP, Azure) and MLOps/LLMOps practices, including cost-aware LLM routing and FinOps.
- Understanding of commerce platforms, commerce operations, or supply chain operations.
- Consistent record of leading end-to-end AI or agentic AI delivery in sophisticated enterprise environments.
- Advanced degree in AI, Machine Learning, Computer Science, or related field preferred.
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.
Disclaimer
To ensure that we hire the best talent in the right way, we follow a strict hiring process and recently, Cisco has been made aware of fraudulent recruiters claiming to be from the company. Please be advised that any communication from Cisco about careers will:
- be in direct response to an application you have submitted through the company career site
- begin with screening or an interview
- originate from a Cisco email address, and
- be conducted across email, phone, or WebEx
Cisco will never make a job offer without conducting an interview process or ask you for money in any way. If you have been requested to apply for a role or have received an offer from a site other than https://careers.cisco.com or cisco.wd5.myworkday.com, do not provide any personal identifying information, including your Aadhaar or other personal identifying number, birth certificate, banking information, driver's license, or passport.
If you are the target of a recruiting scam, consider filing a report with your local law enforcement authorities. Cisco bears no responsibility, and cannot be held liable, for any claims, damages, expenses, or other inconvenience resulting from or in any way connected to recruiting scams.
Skills Required
- 7+ years of experience in software engineering or a related field within an enterprise environment
- Experience building and deploying LLM-powered or agentic AI applications in production
- Strong Python skills
- Practical experience with LLM or agent frameworks such as LangChain, LangGraph, AutoGen, CrewAI, OpenAI SDK, Anthropic SDK, or equivalents
- Expertise in retrieval-augmented generation, prompt engineering, tool or function calling, agent orchestration, and multi-agent communication or workflow orchestration
- Experience with REST, GraphQL, event-driven services, authentication, and enterprise data integrations
- Ability to lead technical delivery and collaborate with multifunctional business and engineering teams
- Experience with A2A, Model Context Protocol, and OpenAPI-based tool integration
- Experience designing enterprise-grade multi-agent systems, human-in-the-loop workflows, and agent guardrails
- Experience with agent evaluation and observability tools such as eval harnesses, tracing, LangSmith, Langfuse, or equivalent platforms
- Knowledge of vector databases and advanced retrieval methods
- Familiarity with AI governance and safety practices, including RBAC, audit logging, PII handling, and high-risk action controls
- Experience with AWS, GCP, or Azure and MLOps or LLMOps practices
- Understanding of commerce platforms, commerce operations, or supply chain operations
- Record of leading end-to-end AI or agentic AI delivery in enterprise environments
- Advanced degree in AI, Machine Learning, Computer Science, or a related field
Cisco Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Cisco and has not been reviewed or approved by Cisco.
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Healthcare Strength — Health coverage is described as broad, with medical options including PPOs, high-deductible plans, and regional HMOs. Feedback suggests robust wellness and mental-health resources, with some locations offering on-site support and second medical opinions.
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Leave & Time Off Breadth — Time off is highlighted through paid holidays, paid time off, and additional recharge days such as “Days for Me,” with generous volunteer time also mentioned. Feedback suggests these programs help support rest, volunteering, and critical life events.
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Parental & Family Support — Parental and family support appears extensive, including paid child-bonding leave, family medical leave, and caregiving resources. Observations also point to family-planning assistance and adoption or surrogacy support in some regions.
Cisco Insights
What We Do
Cisco (NASDAQ: CSCO) enables people to make powerful connections--whether in business, education, philanthropy, or creativity. Cisco hardware, software, and service offerings are used to create the Internet solutions that make networks possible--providing easy access to information anywhere, at any time. Cisco was founded in 1984 by a small group of computer scientists from Stanford University. Since the company's inception, Cisco engineers have been leaders in the development of Internet Protocol (IP)-based networking technologies. Today, with more than 71,000 employees worldwide, this tradition of innovation continues with industry-leading products and solutions in the company's core development areas of routing and switching, as well as in advanced technologies such as home networking, IP telephony, optical networking, security, storage area networking, and wireless technology. In addition to its products, Cisco provides a broad range of service offerings, including technical support and advanced services. Cisco sells its products and services, both directly through its own sales force as well as through its channel partners, to large enterprises, commercial businesses, service providers, and consumers.
