Software Engineering Manager – AI Development

General Motors; Warren (MI); On-site; USD 170,000 - 230,000; Full time

Job summary

General Motors is seeking an experienced Software Engineering Manager– AI Development to lead a high-performing team delivering AI-enabled products and platforms. You will own end-to-end delivery and shape technical strategy for AI and data-driven solutions across GM’s platforms.

The role emphasizes hands-on leadership, collaboration with product, data, security, and infrastructure teams, and a culture of technical excellence with strong execution discipline. Hybrid work expectations apply.

Qualifications

• Bachelor's or Master’s degree in Computer Science, Engineering, Information Systems, or related field, or equivalent practical experience.
• 10+ years of software engineering experience including senior/principal engineer or technical lead roles.
• 5+ years of direct people-management experience leading software/AI teams.
• Proven experience building and deploying AI-enabled solutions including prompt/workflow design and orchestration.
• Strong data platform experience with data lakes/lakehouses/warehouses, APIs, pipelines, governance and security.

Responsibilities

• Lead and grow an engineering team of software and AI engineers, including hiring, coaching, and performance management.
• Own end-to-end delivery of AI-enabled applications and services from problem definition to deployment.
• Lead design and implementation of AI solutions on GM platforms, translating business use cases into scalable solutions.
• Shape technical strategy and architecture for AI and data-driven products, including security and observability.
• Drive engineering best practices across frontend, backend, data, and workflow layers, including CI/CD and secure coding.
• Collaborate with product, data, architecture, and security teams to align roadmaps and remove blockers.
• Mentor senior engineers, building technical depth and leadership capacity.

Skills

Team leadership

Strategic planning

AI/ML fundamentals

Communication

Cross-functional collaboration

Education

Bachelor's/Master's in CS/Engineering

Tools

Azure

CI/CD

Data platforms

Job description

Software Engineering Manager– AI Development

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 behaviour evaluation.
• Experience collaborating with data science and MLOps teams to operationalise models in production, including monitoring, retraining, and versioning.
• Familiarity with enterprise platforms and standards in large, regulated organisations, 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 modernisation efforts for AI and data platforms.
• Ability to influence architecture decisions, drive innovation, and lead organisational change across technical and business boundaries.

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 authorisation 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 GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us

We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Benefits Overview

From day one, we’re looking out for your well‑being—at work and at home—so you can focus on realising your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.

Non-Discrimination and Equal Employment Opportunities (U.S.)

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers. All employment decisions are made on a non‑discriminatory basis without regard to sex, race, colour, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.

Applicants in the recruitment process may be required, where applicable, to successfully complete a role‑related assessment(s) and/or a pre‑employment screening prior to beginning employment. To learn more, visit How we Hire.

Accommodations

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