AI Senior Software Engineer

GM • Mountain View, CA

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About The Position

The Role: As a n 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. What You’ll Do: D esign, develop and test cutting-edge AI infrastructure , optimiz ing 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 i m plement 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.

Requirements

• 10+ years’ experience required of software engineering , with a stron g 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 .
• E xperience adapting and designing AI integrati ons with tools such as Slack , Google Workspace, Move w orks , 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 .
• This position requires the ability to legally operate a motor vehicle on a regular basis.
• A company vehicle will be provided for this role with successful completion of a Motor Vehicle Report review.
• A company vehicle will be provided for this role with successful completion of a Motor Vehicle Report review.
• This job may be eligible for relocation benefits.

Responsibilities

• Design, develop and test cutting-edge AI infrastructure , optimiz ing 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 i m plement 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Number of Employees: 5,001-10,000 employees