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As an AI Platform Engineer on the Enterprise AI team, you will play a critical role in shaping GM’s future through high-impact AI systems. You will implement advanced AI technologies then integrate them into GM’s business strategies, culture, and operational workflows. 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.
Job Responsibility:
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
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
Implement integrations with diverse data sources and SaaS platforms using APIs, while orchestrating workflows through internal and third-party tools
Requirements:
7-10 years’ experience required of software engineering, fluency in .NET, Python or Java
Bachelor’s degree in Computer Science, Data Science, AI/ML, or equivalent experience
Understanding of machine learning, deep learning, and statistical modelling
Familiarity with cloud-based AI/ML platforms (AWS, GCP, Azure) and containerisation using Docker and Kubernetes
Experience adapting AI integrations with tools such as Slack, Google Workspace, Moveworks, Glean, Copilot, Workday and/or ServiceNow