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About 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, focusing 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.

Responsibilities

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.

Requirements

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, 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.

Skills

AI-enabled solutions
Prompt/workflow design
Orchestration
Integration
Evaluation
Data platform
Data lakes/lakehouses/warehouses
Data products
APIs
Pipelines
Governance
Security
Data quality
Full-stack engineering
Backend frameworks
Frontend frameworks
API design
Cloud experience
Azure
Containerization
Microservices
CI/CD pipelines
LLMs
Generative AI
Model operationalization
Monitoring
Retraining
Versioning
Enterprise platforms
Identity/access management
Compliance
Risk controls
Cloud migrations
Platform modernization

Location

Hybrid

Work Type

Hybrid

Experience Level

10+ years of software engineering experience
5+ years of direct people-management experience

Education Level

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

Benefits

Relocation benefits
Total Rewards resources

About the Company

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.
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.

Equal Opportunity

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, color, 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.
We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities.
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.
General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.