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General Motors · 3 weeks ago

AI Software Development Manager

Austin, TX

Full-time

Onsite

Director/Executive

10+ years exp

General Motors is shaping its future through high-impact AI systems and is seeking an AI Software Development Manager. In this role, you will manage a team of engineers developing AI technologies and integrating them into GM’s core platforms, focusing on delivering performant, production-grade systems.

AutomotiveElectric VehicleInformation ServicesManufacturingTransportation

No H1B

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

Qualification

PythonJava.NETCloud platformsAI integrationsDevOps practicesCI/CD toolsAlgorithmsDistributed systemsAPI developmentProblem-solvingTime management

Required

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

Preferred

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