The Role:
As a Platform Engineer on the Enterprise AI team, you will play a critical role in shaping GM’s future through high-impact 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.
What You’ll Do:
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Implement robust, high-performance software systems with a focus on scalability, security, and efficiency.
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Lead technical initiatives in validation, deployment, and monitoring in real-world environments.
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Implement integrations with diverse data sources and SaaS platforms using APIs, while orchestrating workflows through internal and third-party tools.
What You'll Need:
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Familiarity with cloud-based AI/ML platforms (AWS, GCP, Azure) and containerization using Docker and Kubernetes.
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Experience adapting AI integrations with tools such as Slack, Google Workspace, Moveworks, Glean, Copilot, Workday and/or ServiceNow.
What Will Give You a Competitive Edge :
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Self-motivated, strong execution, impact-delivering oriented
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Knowledge of algorithms, distributed systems, and API development.
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Excellent problem-solving skills, with the ability to learn and deliver in a fast-paced environment.
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Experience with natural language AI, such as customization, summarization and translation.
