Senior AI Architect

TeamViewer

Senior AI Architect owning TeamViewer’s AI platform architecture for its digital workplace software. Designing secure agent orchestration, enterprise production systems, and scalable automation across TeamViewer ONE.

Posted 8/7/2026full-timeAustin • Texas • 🇺🇸 United StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in AI and agent-based architectures, with a strong focus on software architecture, distributed systems, and scalable design patterns. Proven ability to lead technical teams, drive architectural decisions, and ensure compliance and security in AI-powered products.

Highest-signal resume keywords

AI ArchitecturePython DevelopmentTypeScript DevelopmentSoftware Licensing ComplianceTechnical Leadership

ATS Keywords

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Hard Skills

AI Systems EvaluationAgent-Based ArchitecturesContext EngineeringOrchestration FrameworksScalable Design PatternsObservability StandardsQuality MeasurementProduction TracingRisk ManagementCost Optimization

Soft Skills

CommunicationMentorshipCollaboration

Tools & Technologies

JavaKotlinReactC++C#

Certifications & Qualifications

Bachelor's Degree in Computer ScienceMaster's Degree in Software Engineering

Industry Keywords

AI SafeguardsMulti-TenancyVendor DependenciesAuditabilityPrompt-Based Attacks

Tech Stack

Tools & technologies

Distributed SystemsJavaKotlinPythonReactTypeScript

About the role

Key responsibilities & impact

Own the architecture of TeamViewer's AI platform across TeamViewer ONE
Define platform architecture for agent orchestration, tool integration, context management, memory, and trust boundaries
Establish standards for evaluating, monitoring, and improving AI systems, including observability, quality measurement, and production tracing
Drive architectural decisions around model selection, routing, fallback strategies, vendor dependencies, and cost optimization
Partner with Security to design AI safeguards, including permission controls, tenant isolation, auditability, and protection against prompt-based attacks
Provide technical leadership, mentorship, and hands-on guidance to engineering teams
Lead architecture and design reviews and maintain clear documentation
Identify and mitigate risks related to scalability, reliability, model behavior, vendor dependencies, licensing, and compliance

Requirements

What you’ll need

7+ years of software engineering experience designing and delivering complex, large-scale systems
Deep expertise in AI and agent-based architectures, including tool-using agents, retrieval systems, context engineering, orchestration frameworks, and evaluation methodologies
Strong hands-on development experience in Python and TypeScript
Familiarity with Java, Kotlin, React, C++, and C#
Experience bringing AI-powered products into enterprise production environments, including security, compliance, multi-tenancy, reliability, and cost management
Strong understanding of software architecture, distributed systems, and scalable design patterns
Ability to communicate complex technical concepts to technical and business stakeholders and drive decisions across teams
Experience with software licensing, open-source compliance, and risk management for AI technologies and third-party dependencies
Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field

Benefits

Comp & perks

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
Inclusive, values-driven workplace culture
Accommodations or adjustments during the application or hiring process, including interview or onboarding support