General Motors
The Role:
As an AI Software Engineer Leader 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 managing a team of skilled engineers developing AI technologies and integrating them into GM’s core platforms. You’ll be a hands‑on leader focused on working with key partners to build AI/ML workflows, and 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.
Your Skills & Abilities (Required Qualifications):
10+ years of experience in software engineering, with a strong background in Python, Java, and .NET.
5+ years of experience managing an engineering team.
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.
What Will Give You a Competitive Edge (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 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.
This job may be eligible for relocation benefits.
GM DOES NOT PROVIDE IMMIGRATION‑RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP (e.g., H‑1B, TN, STEM OPT, etc.) NOW OR IN THE FUTURE.
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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.
Your Skills & Abilities (Required Qualifications):
10+ years of experience in software engineering, with a strong background in Python, Java, and .NET.
5+ years of experience managing an engineering team.
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.
What Will Give You a Competitive Edge (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 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.
This job may be eligible for relocation benefits.
GM DOES NOT PROVIDE IMMIGRATION‑RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP (e.g., H‑1B, TN, STEM OPT, etc.) NOW OR IN THE FUTURE.
#J-18808-Ljbffr