Software Engineering Technical Leader

Software Engineering Lead / AI & Agentic AI ArchitectMeet the Team

Our team builds the cloud-native platforms and AI capabilities that Cisco engineers, customers, and the wider developer community rely on every day. We take emerging AI and agentic technology and turn it into production systems rather than demonstrations, which is where most organizations still stall. The team is a small and senior group of architects and engineers who work shoulder to shoulder with product, security, and platform teams, and who own their work from architecture through live operations. Debate here is direct and technical, and the person with the better argument wins regardless of title. Agentic AI is moving faster than any technology this team has worked with, and the decisions made here shape how Cisco adopts it safely.

Your Impact

Architect and build AI and agentic AI solutions, including agent orchestration, tool integration, retrieval augmented generation, and autonomous workflows, so that emerging capability reaches customers as dependable product rather than experiment. Design and operate secure microservice applications on AWS and Kubernetes, applying a security-first approach across application, API, container, identity, and data layers to protect enterprise data as system autonomy increases. Establish architectural patterns and engineering practices that other teams adopt, raising the quality and speed of AI delivery well beyond this group. Lead design and code reviews and mentor engineers, so that sound technical judgment scales further than any one person can reach. Success in this role looks like agentic systems running in production with clear guardrails, measurable reliability, and engineers across the organization building on the patterns you set.

Minimum Qualifications

• Bachelors + 12 years of related experience, or Masters + 8 years of related of related experience, or equivalent related work experience.

• 8+ years of professional software engineering experience delivering production applications in one or more of Python, Java, Go, or JavaScript/TypeScript.

• 5+ years of experience designing, deploying, and operating microservice-based applications on a public cloud platform such as AWS.

• 3+ years of experience running containerized workloads in Kubernetes in a production environment.

• 2+ years of hands-on experience building applications with generative AI or large language models, including at least one production system using retrieval augmented generation, embeddings, or tool and function calling.

Preferred Qualifications

• Master's degree in Computer Science, Engineering, or Artificial Intelligence and Machine Learning.

• Experience building enterprise-scale agentic AI platforms, including agent orchestration and multi-agent workflows.