AI Operations Engineer
or drop it. Probably include a short paragraph with that info. - Hybrid position: eligible candidates should expect to be present in the Raleigh-Cisco office on a semi-regular basis. - "Meet the Team" paragraph. - "Your Impact" paragraph. - "What You’ll Do" list of duties (many bullet-like sentences). Should be
- .
- Minimum Qualifications list.
- Preferred Qualifications list.
- "Why Cisco?" paragraph (maybe About the role? Actually "Why Cisco?" is about company, could be part of About the role or separate. But we have sections: About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. We need to map content.
"About the role": could include Meet the Team, Your Impact, maybe hybrid info.
"Responsibilities": What You’ll Do.
"Requirements": Minimum Qualifications.
"Qualifications": Preferred Qualifications? Or maybe "Qualifications" includes both minimum and preferred? But we have separate sections for Requirements and Qualifications. Typically Requirements = minimum qualifications, Qualifications = preferred qualifications. We'll follow that.
"Skills": maybe we can extract skills from qualifications? But we might not need a separate Skills section if no explicit skills list besides those in qualifications. Could combine into Qualifications. But we need to output only sections with real content. If we don't have explicit skills list, we could omit Skills.
"Benefits": there is a paragraph about benefits under "Why Cisco?" after salary range. It mentions medical, dental, vision, 401(k), paid parental leave, etc. Also paid time off details. That's benefits.
"Pay": salary range info: starting salary range $169,800 to $214,800, plus location-specific ranges. Also mention incentive compensation, equity, benefits not included. So we have pay details.
"Schedule": hybrid info: semi-regular basis in Raleigh-Cisco office. Also maybe mention flexible vacation? That's more benefits. Schedule could be hybrid expectation.
Thus we will create sections:
- About the role: include Meet the Team, Your Impact, maybe hybrid note? But hybrid could go to Schedule. We'll keep About the role with Meet the Team and Your Impact.
- Responsibilities: What You’ll Do (list).
- Requirements: Minimum Qualifications (list).
- Qualifications: Preferred Qualifications (list).
- Benefits: benefits paragraph (medical, dental, vision, 401(k), parental leave, disability, life insurance, stock units, paid time off details). We'll capture all.
- Pay: salary range details (starting range, location-specific ranges, incentive comp note). We'll include.
- Schedule: hybrid expectation (semi-regular presence in Raleigh-Cisco office). Also maybe note about flexible vacation? That's benefits. So schedule just hybrid.
We must not include filler like "commensurate with experience". Not present.
We need to ensure we don't repeat job title as heading. Not include.
We need to output only HTML fragment, no /. Use
for section headings. Use
- for lists. Use
for prose. We must preserve all substantive information; do not invent or summarize away detail. So we need to keep all details from the posting, but we can rephrase? The instruction: "Preserve ALL substantive information; do NOT invent or summarize away detail." Means we should not omit details, but we can reformat. Likely we should keep the same wording, maybe copy sentences. We need to be careful not to omit any details from Minimum Qualifications, Preferred Qualifications, Benefits, Pay, etc. Let's extract each. First, metadata: Application window close date: 10/08/2026. Job ID: 2021485 – AI Operations Engineer (Hybrid). We can put a short
at top: "Application window expected to close on 10/08/2026. Job ID: 2021485." Not a heading. Now About the role: "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." We can combine into one or two paragraphs. Responsibilities: The "What You’ll Do" list. Let's extract each bullet: - 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. We'll put each as
- . Requirements (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. Qualifications (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. Benefits: From "Why Cisco?" after salary range. Paragraph: "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." Then benefits specifics: "Message to applicants applying to work in the U.S. and/or Canada: The starting salary range posted for this position is $169,800.00 to $214,800.00 and reflects the projected salary range for new hires in this position in U.S. and/or Canada locations, not including incentive compensation*, equity, or benefits. Individual pay is determined by the candidate's hiring location, market conditions, job-related skillset, experience, qualifications, education, certifications, and/or training. The full salary range for certain locations is listed below. For locations not listed below, the recruiter can share more details about compensation for the role in your location during the hiring process. U.S. employees are offered benefits, subject to Cisco’s plan eligibility rules, which include medical, dental and vision insurance, a 401(k) plan with a Cisco matching contribution, paid parental leave, short and long-term disability coverage, and basic life insurance. Please see the Cisco careers site to discover more benefits and perks. Employees may be eligible to receive grants of Cisco restricted stock units, which vest following continued employment with Cisco for defined periods of time. U.S. employees are eligible for paid time away as described below, subject to Cisco’s policies: 10 paid holidays per full calendar year, plus 1 floating holiday for non-exempt employees1 paid day off for employee’s birthday, paid year-end holiday shutdown, and 4 paid days off for personal wellness determined by CiscoNon-exempt employees** receive 16 days of paid vacation time per full calendar year, accrued at rate of 4.92 hours per pay period for full-time employeesExempt employees participate in Cisco’s flexible vacation time off program, which has no defined limit on how much vacation time eligible employees may use (subject to availability and some business limitations)80 hours of sick time off provided on hire date and each January 1st thereafter, and up to 80 hours of unused sick time carried forward from one calendar year to the nextAdditional paid time away may be requested to deal with critical or emergency issues for family membersOptional 10 paid days per full calendar year to volunteer For non-sales roles, employees are also eligible to earn annual bonuses subject to Cisco’s policies. Employees On Sales Plans Earn Performance-based Incentive Pay On Top Of Their Base Salary, Which Is Split Between Quota And Non-quota Components, Subject To The Ap
- for lists. Use