General Motors
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The Role 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.
What You’ll Do
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.
Responsibilities and Required Qualifications
10+ years’ experience in 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.
Preferred Qualifications
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 across organizations.
Ability to communicate complex concepts in simple, visual terms suitable to a wide audience.
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 to balance workload across multiple projects and meet deadlines.
Additional Information
This position requires the ability to legally operate a motor vehicle on a regular basis. A company vehicle will be provided after successful completion of a Motor Vehicle Report review.
This job may be eligible for relocation benefits.
GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. Do not apply if you will need GM immigration sponsorship now or in the future.
About GM: Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion.
Why Join Us: We value inclusive culture and belonging across General Motors.
Benefits Overview: From day one, GM supports your well-being. Learn more at Total Rewards resources.
Non-Discrimination and Equal Employment Opportunities (U.S.): General Motors is committed to an inclusive workplace and non-discriminatory employment decisions.
Accommodations: If you need a reasonable accommodation, email us or call 800-865-7580 with specifics about the accommodation and the job title.
Legal and Role Details
Seniority level: Not Applicable
Employment type: Full-time
Job function: Engineering and Information Technology
Industries: Motor Vehicle Manufacturing, Appliances, Electrical and Electronics Manufacturing, IT Services and IT Consulting
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Get AI-powered advice on this job and more exclusive features.
The Role 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.
What You’ll Do
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.
Responsibilities and Required Qualifications
10+ years’ experience in 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.
Preferred Qualifications
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 across organizations.
Ability to communicate complex concepts in simple, visual terms suitable to a wide audience.
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 to balance workload across multiple projects and meet deadlines.
Additional Information
This position requires the ability to legally operate a motor vehicle on a regular basis. A company vehicle will be provided after successful completion of a Motor Vehicle Report review.
This job may be eligible for relocation benefits.
GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. Do not apply if you will need GM immigration sponsorship now or in the future.
About GM: Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion.
Why Join Us: We value inclusive culture and belonging across General Motors.
Benefits Overview: From day one, GM supports your well-being. Learn more at Total Rewards resources.
Non-Discrimination and Equal Employment Opportunities (U.S.): General Motors is committed to an inclusive workplace and non-discriminatory employment decisions.
Accommodations: If you need a reasonable accommodation, email us or call 800-865-7580 with specifics about the accommodation and the job title.
Legal and Role Details
Seniority level: Not Applicable
Employment type: Full-time
Job function: Engineering and Information Technology
Industries: Motor Vehicle Manufacturing, Appliances, Electrical and Electronics Manufacturing, IT Services and IT Consulting
Referrals increase your chances of interviewing at General Motors. Get notified about new Artificial Intelligence Engineer jobs in Austin, ND.
We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-Ljbffr