Software Engineer

About this role

Job Description

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:

• 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.

What You'll Need:

• 5-7 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 containerization using Docker and Kubernetes.
• 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 :

• Self-motivated, strong execution, impact-delivering oriented
• Knowledge of algorithms, distributed systems, and API development.
• Excellent problem-solving skills, with the ability to learn and deliver in a fast-paced environment.
• Exp...