AI Software Architect

Experteer Overview As Senior Architect, you will own the architecture of TeamViewer’s agentic platform and related MCP services. You’ll shape reference architectures, observability, and safety controls for scalable, multi-tenant AI-enabled systems. You will mentor engineers, drive architectural decisions, and collaborate with security partners to deliver reliable, enterprise-grade AI capabilities. This is a hands-on leadership role at scale, with a strong focus on governance, cost, and reliability. Join us to help define the future of digital workplace automation. Compensation / Benefits * Own the architecture of the agentic platform (including Tia, third-party agents, tool use, memory, orchestration, and governed actions) across TeamViewer ONE * Define reference architecture for MCP servers/clients, tool catalogs, context assembly, memory, orchestration, and trust boundaries * Establish evaluation/observability discipline; define quality criteria, trace agent behavior, catch regressions pre-release, 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 (prompt injection containment, permission models, tenancy isolation, auditability, AI risk) * Guide teams through early project phases; conduct reviews; mentor engineers; maintain architecture documentation for engineers and agents Tasks * 10+ years of software engineering experience with complex architectures * Strong Python and TypeScript skills; deep knowledge of distributed systems * Extensive experience designing/delivering agentic systems (tool-using agents, MCP or similar, retrieval, context engineering, multi-agent orchestration, evaluation frameworks) * Proven track record deploying AI in enterprise production; understanding of security, multi-tenancy, cost management, reliability at scale * Ability to define quality standards for AI systems, evaluation approaches, and real-world failure modes * Deep understanding of AI model failure modes (hallucinations, context degradation, prompt injection, non-determinism, silent regressions) and architectural controls * Experience with AI coding agents, and accountability for correctness, security, maintainability, and architectural alignment * Strong communication skills to convey complex architecture to technical and non-technical stakeholders across global teams * Solid knowledge of software licensing, open-source compliance, and AI dependency risk * Bachelor’s in Computer Science/Software Engineering or related field Key requirements * Competitive compensation and bonuses * Flexible PTO and paid holidays * 401(k) with employer matching * Comprehensive health insurance with 100% employer-paid medical * Up to 12 weeks of parental leave * Life insurance and disability coverage

to pre-release, 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 (prompt injection containment, permission models, tenancy isolation, auditability, AI risk) * Guide teams through early project phases; conduct reviews; mentor engineers; maintain architecture documentation for engineers and agents Tasks * 10+ years of software engineering experience with complex architectures * Strong Python and TypeScript skills; deep knowledge of distributed systems * Extensive experience designing/delivering agentic systems (tool-using agents, MCP or similar, retrieval, context engineering, multi-agent orchestration, evaluation frameworks) * Proven track record deploying AI in enterprise production; understanding of security, multi-tenancy, cost management, reliability at scale * Ability to define quality standards for AI systems, evaluation a experience and real-world failure modes * Deep understanding of AI model failure modes (hallucinations, context degradation, prompt injection, non-determinism, silent regressions) and architectural controls * Experience with AI coding agents, and accountability for correctness, security, maintainability, and architectural alignment * Strong communication skills to convey complex architecture to technical and non-technical stakeholders across global teams * Solid knowledge of software licensing, open-source compliance, and AI dependency risk * Bachelor’s in Computer Science/Software Engineering or related field Key requirements * Competitive compensation and bonuses * Flexible PTO and paid holidays * 401(k) with employer matching * Comprehensive health insurance with 100% employer-paid medical * Up to 12 weeks of parental leave * Life insurance and disability coverage