AI Software Architect

TeamViewer provides a leading Digital Workplace platform that connects people with technologyenabling improving and automating digital processes to make work work better. Our software solutions harness the power of AI and shape the future of digitalization.

We believe that our diverse teams and strong company culture are key to the success of our products and technologies that hundreds of millions of users around the world and around 645000 customers across all industries rely on. With more than 1900 employees worldwide we celebrate the unique perspectives and talents that each individual brings to the table and foster a dynamic work environment where new ideas thrive. Are you ready to join our team and make an impact

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 TeamViewers 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.

• Establish evaluation and observability discipline by defining quality criteria tracing agent behavior catching regressions before release and using results to guide architectural decisions.

• Set pragmatic positions on model choice routing fallback behavior cost governance vendor dependency and production reliability.

• Design safety architecture with security partners covering prompt injection containment permission models tenancy isolation auditability and AI component risk.

• Guide teams hands-on through early project phases conduct architecture and design reviews mentor senior engineers and maintain clear architecture documentation for both engineers and agents.

• 10 years of software engineering experience including demonstrated expertise in complex architectures strong Python and TypeScript skills and deep knowledge of distributed systems.

• Extensive experience designing and delivering agentic systems including tool-using agents MCP or comparable protocols retrieval context engineering multi-agent orchestration and evaluation frameworks.

• Proven track record of bringing AI solutions into enterprise production environments with a strong understanding of security compliance multi-tenancy cost management reliability and operational excellence at scale.

• Strong ability to evaluate AI systems responsibly by defining quality standards developing evaluation approaches interpreting results and identifying real-world failure modes.

• Deep understanding of common AI model failure modes including hallucinations context degradation prompt injection non-determinism and silent regressions as well as the architectural controls required to mitigate them.

• Regular use of AI coding agents combined with critical review practices and accountability for correctness security maintainability and architectural alignment.

• Ability to communicate complex architectural concepts effectively to both technical and non-technical stakeholders balancing business value with technical considerations while collaborating across global teams.

• Solid knowledge of software licensing open-source compliance and AI dependency risk complemented by a Bachelors or Masters degree in Computer Science Software Engineering or a related field.

• Onsite Onboarding in our HQ office for an optimal start

• An attractive compensation package above the collectively agreed minimum basic salary (according to the IT-KV Regelstufe with classification ST1/rule: EUR 3.954 with ST2/rule: EUR 4.611 gross/month)

• 28 days of well-deserved holidays

• Great benefits package including company achievement bonus

• Special terms for local gyms

• Access to Corporate Benefits platform with many discounts

• Regular team events and company-wide celebrations

• Open door policy no dress code rules frequent all Hands and Leadership Lunches

• Work From Abroad Program allowing up to 40 days of work outside your contracting country

• We celebrate diversity as one of core values join and drive one of the c-a-r-e initiatives together with us!

TeamViewer is an equal opportunities employer and is committed to building an inclusive culture where everyone feels welcome and supported. We C-A-R-E and understand that our diverse values-driven culture makes us stronger. As we continue to grow as a company we also focus on enabling our employees to grow both personally and professionally. We are proud to have an open and embracing workplace environment that will empower you to be your best no matter your gender civil or family status sexual orientation religion age disability education level or race.

If you require any accommodations or adjustments during the application or hiring process including interview or onboarding support please reach out to your Talent Acquisition Partner who will be happy to support you.