Software Microservices Platform Engineering Lead, AI & Agentic AI (Hybrid)

Role details

The application window is expected to close on: 10/29/2026 This role involves a hybrid work model, with a flexible in-office schedule that requires commuting to the Richardson, Texas office. Meet the Team Our DevNet team builds and runs the cloud-native services and AI capabilities that Cisco engineers, customers, and the wider developer community depend on every day. We take generative and agentic AI out of the demo stage and put it into production, where reliability and security actually matter. The team is a hands-on group of senior engineers who sit close to architects, product, and security, and who stay with their code from first commit through live operations. Nobody here hands work over a wall, and the person who builds a service is the person who keeps it healthy. Agentic AI is changing how software gets built, and this team is where those changes become real for Cisco. Your Impact Build and operate secure, scalable microservice applications on AWS and Kubernetes, owning reliability and observability so that customers experience a platform that stays up under load. Develop and integrate AI and agentic capabilities, including LLM integration, retrieval augmented generation, tool and function calling, and agentic workflows, so that emerging technology reaches users as working product. Apply a security-first approach across development, deployment, and operations, covering application, API, container, identity, and data security, because autonomy raises the cost of any gap. Automate testing, delivery, and monitoring through modern DevSecOps practice, and troubleshoot complex production issues through to resolution rather than handoff. Success in this role looks like services you built running reliably in production, AI features customers actually use, and engineering practices that improve because you contributed to them. Minimum Qualifications Bachelors and 7+ years of related experience, or Masters and 5+ years of related experience or PhD and 2+ years of related experience, or equivalent related work experience. 5+ years of professional software engineering experience delivering production-quality applications using one or more of the following languages: Python, Java, Go, JavaScript/TypeScript, or C++. 3+ years of experience developing and operating microservices, REST APIs, or distributed applications on a public cloud platform such as AWS, GCP and Azure. 2+ years of experience deploying and operating containerized applications in Kubernetes in a production environment. 1+ years of hands-on experience building applications with generative AI or large language models, including work with retrieval augmented generation (RAG), embeddings, or tool and function calling. Preferred Qualifications Master's degree in Computer Science, Engineering, or Artificial Intelligence and Machine Learning. Experience developing or integrating AI agents and agentic workflows in an enterprise setting. Hands-on experience with agent frameworks such as LangGraph, LangChain, or Semantic Kernel, and with Model Context Protocol or comparable agent-to-tool integration technologies. Experience implementing AI security, guardrails, governance, evaluation, or observability for AI systems. Track record of mentoring engineers, contributing to engineering standards, and collaborating across teams to deliver customer outcomes. 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. Message to applicants applying to work in the U.S. and/or Canada: The starting salary range posted for this position is $151,600.00 to $222,400.00 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 employees 1 paid day off for employee’s birthday, paid year-end holiday shutdown, and 4 paid days off for personal wellness determined by Cisco Non-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 employees Exempt employees participate in Cisco’s flexible vacation time off program, which has no defined limit on how much vacat