AI Software Development Manager

General Motors • Austin, TX

119d

About The Position

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. You’ll be a hands-on leader focused on working with key partners to build AI/ML workflows. You’ll work closely with other engineers and teams to deliver performant, production-grade systems.

Requirements

• 10+ years’ experience required of software engineering, with a 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.

Nice To Haves

• Understand enterprise-level application architecture diagrams and IT security requirements.
• Experience and knowledge in application performance in cloud settings.
• Self-starter with the ability to influence others, working in teams and independently with leaders and stakeholders across many different organizations within Software and Services.
• Ability to communicate complex concepts in simple, visual terms suitable to a wide cross-section of audiences.
• Expert knowledge of algorithms, distributed systems, and API development.
• Excellent problem-solving skills, with the ability to think strategically and deliver in a fast-paced environment.
• Experience with natural language AI, such as customization, summarization and translation.
• Effective time management skills to balance workload across multiple simultaneous projects and meet deadlines proactively and independently.

Responsibilities

• 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.

Benefits

• Company vehicle provided upon successful completion of a Motor Vehicle Report review.
• Relocation benefits may be available.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Bachelor's degree
• Number of Employees: 5,001-10,000 employees