AI Senior Software Engineer

General Motors-posted 2 months ago

Mountain View, CA

5,001-10,000 employees

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As an AI Software Engineer 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 developing AI technologies and integrating them into GM’s core platforms. You’ll be a hands-on technical contributor focused on building core infrastructure components for AI/ML workflows. You’ll work closely with other engineers and teams to deliver performant, production-grade systems.

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, with a strong background in Python, Java and .NET.
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.

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.

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