Software Engineering Technical Leader - AI & Agentic AI Architect

About the role

Cisco is looking for a Software Engineering Technical Leader (AI & Agentic AI Architect) in Budapest. The team builds the cloud-native platforms and AI capabilities that Cisco engineers, customers and the developer community rely on, turning emerging AI and agentic technology into production systems. The role is senior, with direct technical debate and ownership from architecture through live operations.

Key responsibilities

• Architect and build AI and agentic AI solutions, including agent orchestration, tool integration, retrieval augmented generation and autonomous workflows.
• Design and operate secure microservice applications on AWS and Kubernetes, with a security-first approach across application, API, container, identity and data layers.
• Establish architectural patterns and engineering practices that other teams adopt, improving the quality and speed of AI delivery.
• Lead design and code reviews and mentor engineers so that sound technical judgment scales beyond one person.

Required profile

• Bachelor's degree plus 12 years of related experience, or Master's degree plus 8 years, or equivalent experience.
• 8+ years of professional software engineering experience delivering production applications in Python, Java, Go or JavaScript/TypeScript.
• 5+ years designing, deploying and operating microservice applications on a public cloud such as AWS.
• 3+ years running containerized workloads in Kubernetes in production.
• 2+ years 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.
• Hands-on experience with agent frameworks such as LangGraph, LangChain, Model Context Protocol or Semantic Kernel.
• Experience with AI security, guardrails, policy enforcement, evaluation and observability.
• Proven ability to mentor engineers and influence architecture decisions across organizations.