Responsibilities- 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.
- 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.
Requirements- 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 Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field.
What we offer- Competitive compensation and bonuses
- Flexible PTO and paid holidays
- 401(k) with employer matching
- Comprehensive Health insurance package including 100% employer-paid medical coverage
- Up to 12 weeks of Parental Leave
- Basic Life Insurance, Short-Term & Long-Term Disability, 100% employer-paid
- Quarterly teambuilding events, leadership luncheons, and companywide "All Hands" meetings
- Open door policy and business casual dress code
- We celebrate diversity as one of our core values. Join c-a-r-e and lead change initiatives together with us!
Work location for this position is Austin, TX.
Department Research & Development Locations Austin Remote status Hybrid Employment type Full-time Type of Job Non Student
