General Motors

Software Engineering Manager - AI Development

General Motors$130K — $160K *
Enterprise Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's or Master's degree in Computer Science, Engineering, or related field, or equivalent experience.
  • 10+ years of software engineering experience, with significant time as a senior/principal engineer.
  • 5+ years of experience in people management, specifically with software or AI/ML teams.
  • Expertise in building and deploying AI-enabled solutions, including design and integration.
  • Strong background in data platforms, including modern data lakes/lakehouses and APIs.
  • Full-stack engineering skills, with knowledge of backend and frontend frameworks.
  • Hands-on experience with cloud platforms, preferably Azure.

Responsibilities

  • Lead and develop a team of software and AI engineers, focusing on hiring and performance management.
  • Own the full lifecycle of AI-enabled applications and services, from architecture to support.
  • Design and implement AI solutions on Glean and DBX platforms, aligning with business needs.
  • Shape technical strategy and architecture for AI products and ensure operational support.
  • Drive software engineering best practices, including clean architecture and CI/CD processes.
  • Collaborate with data platform teams to design APIs and data pipelines that support AI.
  • Establish engineering standards for code quality, documentation, and reliability.

Benefits

  • Hybrid work model with in-office requirements.
  • Possibility of relocation benefits offered.
Full Job Description
Job Description

The Role

The Software Engineering Manager- AI Development will lead a high-performing engineering team delivering AI-powered products and platforms that enable data-driven decision making across the enterprise. This role combines deep technical leadership with hands-on people management. The role has a strong focus on building solutions on GM's Glean and DBX Genie platforms, modern data platforms, and enterprise-grade application architectures.

This leader will shape technical strategy, own delivery outcomes end to end, and partner across product, data, business, architecture, infrastructure, and security teams to deliver scalable, secure, and business-ready AI solutions. The role is expected to help drive GM's broader AI direction while mentoring engineering talent and establishing a strong culture of technical excellence, operational discipline, and innovation.

What You'll Do:

  • Lead and grow an engineering team of software and AI engineers, including hiring, coaching, performance management, career development, and day-to-day delivery leadership.


  • Own end-to-end delivery of AI-enabled applications and services, from problem definition and architecture through implementation, testing, deployment, and ongoing support.


  • Lead the design and implementation of AI solutions on Glean and DBX platforms, Agents and DBX Genie, translating business use cases into scalable, reliable, and governed solutions.


  • Shape technical strategy and architecture for AI and data-driven products, including platform patterns, integration strategy, security, observability, resilience, and operational support.


  • Drive best practices in software engineering across frontend, backend, data, and workflow layers, including clean architecture, automated testing, CI/CD, and secure coding.


  • Partner with data platform teams to design and consume curated data products, APIs, and pipelines that support AI and analytics workloads at scale.


  • Establish and enforce engineering standards for code quality, documentation, design reviews, reliability, and production excellence.


  • Collaborate cross-functionally with product management, UX, enterprise architecture, infrastructure, governance, and security teams to align roadmaps and remove delivery blockers.


  • Mentor senior and principal engineers, building technical depth and leadership capacity across the team.


  • Identify emerging AI capabilities and practical opportunities to integrate them into GM workflows and platforms in a safe, scalable way.


Your Skills and Abilities (Required Qualifications)

  • Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, or a related field, or equivalent practical experience.


  • 10+ years of software engineering experience, including substantial experience as a senior/principal engineer or technical lead.


  • 5+ years of direct people-management experience leading software engineering or AI/ML engineering teams


  • Proven experience building and deploying AI-enabled solutions; including prompt/workflow design, orchestration, integration, and evaluation.


  • Strong data platform experience, including modern data lakes/lakehouses/warehouses, data products, APIs, pipelines, governance, security, and data quality concepts.


  • Full-stack engineering expertise, including modern backend frameworks, frontend frameworks, and API design/integration.


  • Hands-on cloud experience, preferably Azure, including containerization, microservices, and CI/CD pipelines.


  • Demonstrated ability to lead complex, cross-team initiatives while balancing technical depth, execution discipline, and stakeholder management.


  • Strong communication, collaboration, and organizational leadership skills.


What Will Give You a Competitive Edge (Preferred Qualifications)

  • Experience integrating LLMs and generative AI capabilities into production systems, including safety, observability, and AI behavior evaluation.


  • Experience collaborating with data science and MLOps teams to operationalize models in production, including monitoring, retraining, and versioning.


  • Familiarity with enterprise platforms and standards in large, regulated organizations, including identity/access management, compliance, and risk controls.


  • Demonstrated success in enterprise-scale AI deployments and embedding AI into mission-critical workflows.


  • Experience leading cloud migrations and modernization efforts for AI and data platforms.


  • Ability to influence architecture decisions, drive innovation, and lead organizational change across technical and business boundaries.


  • The ideal candidate will bring both principal-level technical judgment and strong people leadership to scale GM's AI capabilities through governed, high-impact solutions on approved enterprise platforms.


GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc).This role is categorized as hybrid. This means the selected candidate is expected to report to a specific location at least 3 times a week {or other frequency dictated by their manager}.This job may be eligible for relocation benefits.

About General Motors

General Motors Company engages in the manufacture and sale of cars and trucks in the United States, China, Brazil, Germany, the United Kingdom, Canada, and Italy. It offers sedans, crossovers, sport utility vehicles, pick-up trucks, coupes, sports/convertibles and hybrid vehicles, hatchbacks/wagons, and vans, as well as mini cars in India. The company also provides parts and accessories, such as iPod and MP3 compatibility, mobility accessories, performance parts, AC parts and services, and merchandise. In addition, it offers vehicle safety, security, and information services. The company provides used vehicles. It offers its products through dealers and distributors. General Motors Company was formerly known as NGMCO, Inc. and changed its name to General Motors Company in July 2009. The company was incorporated in 2009 and is based in Detroit, Michigan. It operates manufacturing facilities in India, the United States, and Canada. General Motors Company operates as a subsidiary of the United States Department of The Treasury. General Motors led global vehicle sales for 77 consecutive years from 1931 through 2007, longer than any other automaker, and is currently among the world's largest automakers by vehicle unit sales. General Motors acts in most countries outside the USA via wholly-owned subsidiaries but operates in China through 10 joint ventures. GM's OnStar subsidiary provides vehicle safety, security, and information services. In 2009, General Motors shed several brands, closing Saturn, Pontiac, and Hummer, and emerged from a government-backed Chapter 11 reorganization. In 2010, GM made an initial public offering IPOs to date and returned to profitability later that year.

General Motors Careers

Join the dynamic team at General Motors, a global leader in automotive innovation and technology. At General Motors, we offer unparalleled job opportunities that propel your career forward while contributing to a legacy of engineering excellence.

Work You’ll Do

Embark on a career with General Motors to drive the future of mobility. Our team is dedicated to redefining the automotive landscape through innovation and leadership in electric vehicles and sustainable solutions. By joining us, you will be part of a culture that values diversity, teamwork, and continuous professional growth.

Transform Your Career

General Motors is not just a company; it's a community where you can grow your skills alongside the best in the industry. Our leadership is committed to providing every employee—from interns to senior professionals—with opportunities for career advancement, leadership development, and diversity training.

Innovate and Lead

At General Motors, innovation is at the core of everything we do. From research and development to manufacturing, our teams work collaboratively to lead the industry with cutting-edge technologies and sustainable practices. We encourage our employees to think big and push the boundaries of what’s possible.

Join Our Global Team

As part of our global workforce, you will collaborate with talented individuals who are passionate about shaping the future of transportation. General Motors offers a variety of career paths in engineering, design, IT, marketing, and more. With over 155,000 employees worldwide, our network provides expansive opportunities for networking and professional development.

Internship Programs and Employment Benefits

Start your career journey with a General Motors internship, where you can apply your academic knowledge to real-world projects. Our internships provide a robust foundation in the automotive industry, with mentorship from experienced leaders. Full-time employees enjoy a wealth of benefits, including comprehensive health care, retirement plans, and performance bonuses, ensuring that your hard work is rewarded.

Explore Job Opportunities

Whether you’re a seasoned professional or a recent graduate, General Motors offers positions that leverage your unique skills. Our hiring process is designed to identify and nurture talent, focusing on aligning your capabilities with the right opportunities for growth within the company.

Stay Connected

Join Our Team Search open positions that match your skills and interests. At General Motors, we look for innovative, driven, and solution-oriented team players. Explore the possibilities that await you in a career at General Motors.

Keep Up to Date

Stay ahead with career tips, insider perspectives, and industry-leading insights you can put to use today—all from the people who drive success at General Motors.

Job Alert Emails

Customize your subscription to receive job alerts, latest news, and insider tips tailored to your preferences. Discover the exciting and rewarding career opportunities available at General Motors. Embark on a journey of growth, innovation, and leadership at General Motors. Shape your future in an environment that fosters diversity, learning, and the pursuit of excellence. Join us and redefine the roads of tomorrow.
Learn more about General Motors
Size
157,000 employees
Market Cap
$46.9 billion
Industry
Net Income
$6.4 billion
Founded
1908
5 Year Trend
-3.2%
Revenue
$122.4 billion
NASDAQ

Similar Jobs

More Jobs at General Motors

More Enterprise Technology Jobs

Find similar Software Engineering Manager - AI Development jobs: