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# AI Software Architect

- **Company:** TeamViewer US, Inc.
- **Location:** Austin, TX, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Distributed Systems, Python (Programming Language), Open Source Technology, Software Engineering, TeamViewer, TypeScript, Software Licensing, Multi-Agent Systems, Information Technology
- **Published:** August 8, 2026
- **Apply:** https://us.experteer.com/career/view-jobs/ai-software-architect-austin-tx-usa-58855133

## About the Role

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

## Description

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


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