Staff AI Engineer - AI Catalyst

Description
Join the team powering GM's AI transformation! Our AI Catalyst team, part of the Office of the Chief AI Officer, serves as GM's internal AI design and solution engineering group. We partner directly with business units across vehicle design, manufacturing, and enterprise operations to prototype and implement AI-powered solutions that accelerate GM's transformation into an AI-driven company.
Our Mission & Core Responsibilities: Across GM, many teams are eager to adopt AI but lack the technical depth to execute. The AI Catalyst team acts as a "plug-and-play" AI partner, providing the expertise, prototypes, and frameworks needed to jumpstart their AI journey. Our mission is to make AI accessible, actionable, and effective across GM's diverse ecosystem - from design studios to assembly plants.
We bridge the gap between cutting-edge AI technology and real-world business needs - helping teams translate their goals into scalable, high-impact AI solutions. Projects may span from robotics automation for manufacturing, generative vehicle design, to predictive modeling for warranty or plant optimization, all aimed at bringing AI's full potential to GM's enterprise.
The Role: As a Staff AI Engineer, you will play a critical role in shaping GM's future through the high-impact AI solutions you develop.
You will collaborate directly with internal business and engineering partners, prototyping and deploying AI systems that enable smarter, faster, and more efficient operations across GM's global enterprise.
You'll lead high-impact AI enablement projects across multiple domains, set the technical direction for solution prototyping, and guide cross-functional collaboration. Acting as a key technical advisor to business and engineering leaders, you'll mentor engineers and ensure that GM's AI solutions are robust, adaptable, and aligned with enterprise goals.
What You'll Do
Depending on level and scope, you will

• Partner with internal clients to understand their goals, challenges, and opportunities for AI adoption.

• Prototype end-to-end AI solutions - from model evaluation and integration to deployment-ready proofs of concept - addressing use cases such as robotic perception in manufacturing, generative workflows for vehicle design, or predictive analytics for demand and warranty forecasting.

• Evaluate and apply state-of-the-art AI technologies (e.g., generative AI, computer vision, predictive modeling) to solve real business problems.

• Collaborate cross-functionally with vehicle engineering, manufacturing, data, and IT teams to ensure successful implementation and knowledge transfer.

• Communicate complex AI concepts effectively to non-technical audiences, bridging the gap between technical innovation and business impact.

• Lead high-impact AI enablement projects and mentor engineers across teams.

Your Skills & Abilities (Required Qualifications)

• 7 years of experience in software engineering, ML engineering, or applied data science.

• Proven ability to translate business problems into technical AI solutions.

• Strong understanding of modern AI methods and their practical applications (LLMs, diffusion models, computer vision, predictive modeling, etc.).

• Proficiency in Python and modern ML frameworks (e.g., PyTorch, TensorFlow).

• Excellent communication and consulting skills; ability to influence and collaborate with cross-functional partners.

• Experience leading complex AI projects end-to-end, from scoping to prototype delivery.

What Will Give You a Competitive Edge (Preferred Qualifications)

• Experience in automotive, manufacturing, or large-scale industrial applications.

• Familiarity with simulation tools or robotics (e.g., ROS, Isaac Sim, Gazebo).

• Strong track record of delivering applied AI prototypes that demonstrate measurable business impact.

• Background in client-facing or consulting environments, translating technical work into business value.

This role is categorized as hybrid. This means the successful candidate is expected to report to the MTV or Warren office three times per week or any other frequency dictated by the business.
Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington.

• The salary range for this role is 180,000 to 270,000. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
• Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
• Benefits: GM offers a variety of health and wellbeing benefit programs

Relocation: This job may be eligible for relocation benefits.
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