AI Platform Architect: Scalable, Secure Agent Orchestration

TeamViewer; Austin (CO); On-site; USD 140,000 - 190,000; Full time

Benefits offered by this job

Competitive compensation

Flexible PTO

401(k) plan with match

Health insurance

Parental leave

Life/Disability insurance

Team events

Job summary

TeamViewer is seeking an experienced AI Platform Architect to lead the design and execution of our AI infrastructure in Austin, TX. You will own end-to-end architecture for agent-based systems, ensure security, scalability, and cost efficiency, and mentor multiple engineering teams.

You will collaborate with product and security to set standards, drive architectural decisions, and deliver robust, enterprise-ready AI solutions.

Qualifications

• 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, with familiarity across technologies such as 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 both 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.

Responsibilities

• Own the architecture of TeamViewer's AI platform, defining how internal and third-party agents discover context, access tools, and execute actions across TeamViewer ONE.
• Define the 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 safeguards for AI systems, including permission controls, tenant isolation, auditability, and protection against prompt-based attacks.
• Provide technical leadership, mentorship, and hands-on guidance to engineering teams during planning and delivery.
• Lead architecture and design reviews and maintain clear, accessible documentation.
• Identify and mitigate architectural risks related to scalability, reliability, model behavior, vendor dependencies, licensing, and compliance.

Skills

Python

TypeScript

AI architectures

Distributed systems

Mentorship

Communication

React

Java

C++

C#

Education

Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field

Tools

React

Java

Kotlin

C++

C#

Job description

TeamViewer is seeking an experienced AI Platform Architect to lead the design and execution of our AI infrastructure in Austin, TX. You will own end-to-end architecture for agent-based systems, ensure security, scalability, and cost efficiency, and mentor multiple engineering teams.

You will collaborate with product and security to set standards, drive architectural decisions, and deliver robust, enterprise-ready AI solutions.