AI Software Architect

Responsibilities

The Agentic Ecosystem team is building the foundation for AI-native enterprise software. We create platform capabilities that allow AI agents to understand context, discover tools, invoke capabilities, and execute governed actions across TeamViewer products and connected third-party systems.

The work sits at the core of agentic experiences: MCP servers and clients, tool catalogs, context assembly, orchestration, evaluation, observability, secure integration patterns, and production-grade guardrails. The goal is to make agent behavior reliable, measurable, auditable, cost-aware, and safe for enterprise use.

You will help define how autonomous agents become trusted components of real-world software, not experiments or demos. This means combining strong engineering standards, AI-native development practices, human accountability, and customer trust. Join us if you want to build the ecosystem that will power the next generation of intelligent digital work.

Own the architecture of TeamViewer’s agentic platform, including Tia, third-party agents, tool use, retrieval, memory, orchestration, and governed actions across TeamViewer ONE.

Define reference architecture for MCP servers and clients, tool catalogues, context assembly, memory, orchestration, and trust boundaries …