As an AI Software Engineer Leader on the Enterprise AI team, you will play a critical role in shaping GM’s future through high-impact AI systems.
You will be responsible for managing a team of skilled engineers developing AI technologies and integrating them into GM’s core platforms.
Design, develop and test cutting-edge AI infrastructure, optimizing machine learning and AI-driven applications across GM’s global platforms.
Collaborate with cross-functional teams (data scientists, software engineers, product teams) to bring AI solutions into production at scale.
Design and implement robust, high-performance software systems with a focus on scalability, security, and efficiency.
Lead technical initiatives in validation, deployment, and monitoring in real-world environments.
Design and implement integrations with diverse data sources and SaaS platforms using APIs, while orchestrating workflows through internal and third-party tools.
Optimize cloud resources for cost, performance, and scalability.
Mentor and guide junior engineers, fostering a culture of innovation and technical excellence.

10+ years’ experience required of software engineering
Strong background in Python, Java and .NET
5+ years’ experience managing an engineering team
Bachelor’s degree or higher in Computer Science, Data Science, AI/ML, or equivalent experience.
Ability to define and propose innovative solutions to business problems and projects that may begin with ambiguous requirements and requests.
Expert knowledge of cloud platforms such as AWS, Azure, or GCP, and container orchestration technologies.
Experience adapting and designing AI integrations with tools such as Slack, Google Workspace, Moveworks, Glean, Copilot, Workday and/or ServiceNow.
Experience with DevOps practices and CI/CD tools, pipelines, and scripting for automation.

From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions.

AI Software Development Manager

Key skills