Principal Engineer, AI Acceleration

General Motors (GM)

Confirmed live yesterday High trust
Hybrid

Quick summary

Work type
Hybrid
Location
Warren, MIAustin, TX
Employment
Full-time
Posted
12 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

How this pay compares to similar roles

Similar $231k
$133k $290k
below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $199,125–$262,687.

Based on 240 similar postings.

Employer

About General Motors (GM)

General Motors (GM) is a leading American multinational automotive corporation founded in 1908 and headquartered in Detroit, Michigan.

General Motors (GM) currently has 196 open roles on FindRole.

Listed pay typically runs $159,200–$245,000 across 54 roles with salary data.

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At a glance

TL;DR · Principal Engineer, AI Acceleration

The Principal Engineer, AI Acceleration joins the Core IT team to identify and build high-leverage AI-powered tools that streamline internal workflows. This hands-on technical leadership role involves moving from discovery and prototyping to production-quality solutions that solve manual, repetitive, or error-prone tasks across engineering, manufacturing, and corporate functions. You will develop tools using GM-approved enterprise technologies, including Google Workspace, Figma, Jira, and various LLM models. Key responsibilities include designing scalable architectures, establishing engineering disciplines for security and observability, and mentoring engineers. You must possess deep expertise in LLM application patterns such as retrieval-augmented generation, prompting, and tool use. The role focuses on creating step-change improvements in productivity by integrating AI into existing enterprise data platforms and identity systems to drive measurable business outcomes.

What does a Engineer earn in Texas?

Median $182000 from 41 postings across 16 companies.

See salary data

What you'll do

  • Identify high-leverage opportunities to automate slow, manual, or repetitive work using AI.
  • Design, build, and scale production-quality AI-powered tools and LLM-enabled applications.
  • Prototype solutions quickly and move successful versions into reliable, supported production environments.
  • Integrate AI solutions with enterprise platforms like Google Workspace, Figma, and Jira.
  • Establish engineering standards for architecture, security, privacy, observability, and lifecycle management.
  • Define and measure success metrics including time saved, quality, adoption, and cycle time.
  • Convert successful implementations into reusable reference architectures, patterns, and documentation.
  • Provide technical leadership by mentoring engineers and conducting design and code reviews.

What we're looking for

  • 10+ years of progressive software engineering experience delivering production software for customers or employees.
  • Demonstrated experience as a Principal Engineer or senior technical leader with influence across multiple teams.
  • Hands-on experience designing and building AI- or LLM-enabled applications, agents, or automations.
  • Strong understanding of LLM patterns including prompting, RAG, tool use, context management, and observability.
  • Experience integrating AI solutions with enterprise applications, APIs, data sources, identity systems, and workflow platforms.
  • Strong software engineering fundamentals in architecture, distributed systems, CI/CD, monitoring, security, and operational excellence.
  • Ability to translate ambiguous business problems into clear product and technical strategies.
  • Experience building internal developer platforms, productivity tools, or enterprise AI products (preferred).

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