Cisco

AI Operations Engineer

Cisco • $169K — $214K *
Research Triangle Park, NC 27709In-Person
Information Technology
5 - 7 years of experience
Today
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Job Overview by Ladders

Qualifications

  • 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 and experience with LLM/agent frameworks such as LangChain, LangGraph, AutoGen, or equivalents.
  • Practical expertise in retrieval-augmented generation (RAG) and agent orchestration.
  • Experience with API and system integrations, including REST and GraphQL.
  • Ability to lead technical delivery and collaborate with multi-functional teams.

Responsibilities

  • Design and build AI agents that automate manual Commerce Operations tasks.
  • Implement agent orchestration using frameworks such as LangGraph or LangChain.
  • Build agent-to-agent integrations for reliable coordination and delegation.
  • Design secure API integrations with commerce platforms and enterprise data sources.
  • Build and optimize retrieval-augmented generation (RAG) pipelines using knowledge repositories.
  • Implement guardrails and failover mechanisms to ensure reliability and cost control.
  • Continuously improve AI workflows and integrate solutions into existing systems.

Benefits

  • Hybrid work environment, allowing for a mix of remote and in-office work at the Raleigh-Cisco office.
  • Opportunity to work on advanced AI technologies in a leading organization.
Full Job Description
The application window is expected to close on: 10/08/2026

  • This position is listed as hybrid - eligible candidates should expect to be present in the Raleigh-Cisco office on a semi-regular basis.
  • Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received.


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.

About Cisco

Cisco Careers

Join the vibrant team at Cisco, a global leader in networking and cybersecurity solutions, where innovation and leadership thrive. Cisco offers a plethora of job opportunities that cater to a range of skills and experiences, making it an ideal place for both seasoned professionals and those seeking an internship to jumpstart their career. Work You’ll Do At Cisco, you’ll be part of a culture that values diversity, leadership, and professional growth. Engage in work that matters with a team that combines technology, creativity, and the power of human connection to redefine networking. Cisco’s commitment to innovation isn’t just about technology, but also about transforming the way we work and collaborate. Cisco’s employment philosophy supports career advancement and nurtures a leadership pipeline that is equipped with diversity training and opportunities for growth. Whether you’re applying your skills to drive our latest innovations or using our vast networking capabilities to solve complex problems, at Cisco, every role is impactful. Join Our Dynamic Team Explore job opportunities in areas ranging from engineering to marketing, sales to cybersecurity. Cisco is hiring individuals who are passionate, curious, and ready to drive change. Positions at Cisco offer competitive benefits, a supportive culture, and the chance to work with cutting-edge technology. Internship Programs Kickstart your career with a Cisco internship. Gain invaluable industry experience, enhance your resume, and build professional networks that last a lifetime. Our internships provide hands-on experience and the chance to work on projects that matter. Leadership and Development Cisco is committed to fostering leadership skills and providing employees with the training needed to succeed. Our leadership programs help you develop new skills, manage teams effectively, and lead with confidence. Cisco’s commitment to professional development ensures that your career path is as dynamic as our technologies. Benefits and Culture Cisco understands the importance of a balanced life. Our benefits package is designed to ensure that our team members are healthy, happy, and secure. At Cisco, you’ll find a supportive culture that encourages open communication, teamwork, and mutual respect. Stay Connected Join Cisco’s Talent Network Stay informed about new positions that match your skills and interests. At Cisco, we value the curiosity and unique perspectives of our team members. Subscribe to receive personalized job alerts and insider tips directly from our hiring managers. Explore Cisco Jobs Ready to advance your career at Cisco? Search open positions, prepare your resume, and get ready for an interview that could lead to your next big opportunity. At Cisco, we’re not just filling positions—we’re investing in leaders. Keep Up to Date Stay ahead with career tips, insider perspectives, and industry-leading insights you can put to use today—all from the people who work here. READ CAREERS BLOG Job Alert Emails Customize your subscription to receive job alerts, the latest news, and insider tips tailored to your preferences. Discover the exciting and rewarding career opportunities that await you at Cisco.
Learn more about Cisco
Size
79,500 employees
Market Cap
$194.5 billion
Industry
Telecommunications & Hardware
Net Income
$10.1 billion
Founded
2014
5 Year Trend
+1.4%
Revenue
$48 billion
NASDAQ
CSCO
* Ladders Estimates

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