Staff AI Platform Architect

General Motors Company; Austin (TX); On-site; USD 189,000 - 333,000; Full time

Benefits offered by this job

Health benefits

GM vehicle discounts

Tuition assistance

Paid vacation and holidays

Job summary

General Motors Company is seeking a Staff Individual Contributor to design and implement the next generation of customer‑facing AI systems. You will lead the architecture and hands‑on development of reusable modules for conversational AI, agent orchestration, grounding, memory, tool integration, and policy enforcement across cloud platforms.

This is a senior, individual contributor role focused on architecture, reviews, and production delivery in Python/Go/Java, with emphasis on scalable,

Qualifications

• 8+ years of software engineering experience including ownership of distributed, cloud‑native, or customer‑facing systems.
• Hands‑on technical architect, staff/principal engineer, or lead programmer delivering production systems at scale.
• Expert Python and strong Go and/or Java programming skills.
• Strong command of distributed‑system design, API and data contracts, asynchronous processing, eventing, caching, consistency, and fault tolerance.
• Production experience with LLM applications, agent orchestration, RAG, embeddings/vector search, tool use, MCP, A2A, and chatbot/workflow systems with grounding and regression evaluation.
• Experience with inference and serving for low latency, high throughput, concurrency, autoscaling, and cost/performance optimization.
• Cloud and delivery experience with GCP and/or Azure, containers/Kubernetes, IAM, secrets, messaging, managed data services, CI/CD, infrastructure as code, and automated testing.
• Ability to define architecture artifacts and non‑functional requirements covering security, privacy, observability, SLOs/SLIs, capacity, BCP, DR, and operational resilience.
• Strong written and verbal communication, technical judgment, and ability to influence without direct authority.

Responsibilities

• Own architecture and hands‑on delivery of complex customer‑facing AI modules from PRD through production.
• Turn product needs into clear component boundaries, APIs, data models, ERDs, sequence flows, deployment designs, test strategies, and AI evaluation plans.
• Build reusable services for orchestration, agents, grounding, retrieval, memory, tool integration, conversation state, and channel adapters.
• Lead technical decisions for inference, serving, reliability, security, observability, capacity, and operational readiness.
• Establish reference implementations and engineering patterns for AI‑enabled services across GCP and Azure.
• Drive CI/CD, automated testing, AI evaluation and regression pipelines, release readiness, and production operations.
• Partner with product, security, privacy, data, infrastructure, and application teams to resolve cross‑system tradeoffs.
• Provide technical leadership through architecture reviews, design documentation, code reviews, incident analysis, and production‑readiness reviews.
• Identify opportunities to simplify duplicated capabilities and standardize reusable platform interfaces.

Skills

Python

Go

Java

Distributed systems

Cloud architecture

LLM applications

Kubernetes

Technical leadership

Tools

GCP

Azure

Kubernetes

CI/CD

IAM

Job description

General Motors Company is seeking a Staff Individual Contributor to design and implement the next generation of customer‑facing AI systems. You will lead the architecture and hands‑on development of reusable modules for conversational AI, agent orchestration, grounding, memory, tool integration, and policy enforcement across cloud platforms.

This is a senior, individual contributor role focused on architecture, reviews, and production delivery in Python/Go/Java, with emphasis on scalable,