In-Vehicle AI Architect & Platform Lead

Jobtailor; California (MO); On-site; USD 200,000 - 260,000; Full time

Job summary

General Motors seeks a Senior Architect to define and own the end-to-end In-Vehicle AI Assistant platform. You will shape architecture for Android clients and cloud services, guiding cross-functional teams across UX, security, and data engineering to ensure seamless real-time communication and AI/ML integration.

You will lead multi-year technical roadmaps, evaluate AI/LLM orchestration layers, and drive reliability, latency, and privacy across hybrid edge-cloud environments.

Qualifications

• Bachelor’s degree in Computer Science, Computer Engineering, or equivalent practical experience.
• 12+ years of professional software development experience.
• Proven experience designing large-scale distributed systems spanning client applications and cloud microservices.
• Technical depth in Android architecture using Kotlin/Java.
• Experience with backend cloud integration, microservices, REST, gRPC, and streaming APIs.
• Cross-functional technical leadership across multiple engineering organizations.
• Expertise in client-server interaction patterns, state synchronization, and low-latency network communication protocols.
• Ability to define multi-year technical roadmaps and translate product vision into scalable platform architectures.
• Preferred: Master’s or Ph.D. in Computer Science, Electrical Engineering, or a related field.
• Preferred: Expertise in conversational AI architectures, voice assistant frameworks, or agentic LLM orchestration layers.
• Preferred: Familiarity with Android Automotive OS applications or in-cabin system constraints.
• Preferred: Background in edge-cloud hybrid computing, client-side ML execution, and server-side model streaming.
• Preferred: Exceptional technical communication skills.

Responsibilities

• Define and own end-to-end architecture for In-Vehicle AI Assistant platforms across Android client applications and cloud backend integration services.
• Drive cross-functional technical strategy with Cloud AI/ML, In-Cabin UX, Product Management, Security, and Data Engineering teams.
• Architect hybrid edge-cloud orchestration balancing on-device latency, network bandwidth, and offline reliability.
• Establish engineering standards and API protocols for real-time client-server communication using gRPC and streaming interfaces.
• Evaluate and integrate AI/ML agent frameworks, large language model orchestrators, and tool execution engines.

Skills

End-to-End Architecture

Android Architecture

Cloud Integration

Cross-Functional Leadership

AI/ML Frameworks

Education

Bachelor's Degree in CS/CE

Master/PhD in CS/EE (preferred)

Tools

Android Automotive OS

Streaming APIs

Telemetry Standards

gRPC

REST

Job description

General Motors seeks a Senior Architect to define and own the end-to-end In-Vehicle AI Assistant platform. You will shape architecture for Android clients and cloud services, guiding cross-functional teams across UX, security, and data engineering to ensure seamless real-time communication and AI/ML integration.

You will lead multi-year technical roadmaps, evaluate AI/LLM orchestration layers, and drive reliability, latency, and privacy across hybrid edge-cloud environments.