Sr. Software Engineering Manager- AI Development

Job Description

The Role

The Sr. Software Engineering Manager- AI Development will lead the design development and delivery of advanced AI-driven solutions across GMs enterprise platforms on behalf of VEQ (Global Vehicle Engineering & Quality).

This role combines deep technical expertise with leadership responsibilities driving innovation in AI applications and managing a team of engineers to build scalable secure and high-performing systems. You will lead projects leveragingGLEANandDBX Genieplatforms integrate AI into enterprise workflows and ensure alignment with GMs strategic objectives for next-generation data and AI capabilities.

This position offers the opportunity to shape GMs AI strategy mentor engineering talent and deliver impactful solutions that transform data into actionable insights. You will play a key role in guiding full-stack development efforts managing cloud migrations and fostering a culture of technical excellence.

What Youll Do (Responsibilities):

• Lead and Manage Teams:Oversee a team of software engineers providing mentorship career development and performance management.
• AI Platform Development:Architect and implement AI solutions across VEQ usingGLEANandDBX Genie ensuring scalability and compliance with enterprise standards.
• Data Platform Expertise:Collaborate with data engineering teams to design and optimize data pipelines leveraging big data technologies such asSpark DBX and advanced SQL.
• Cloud Transformation:Lead migration and optimization of AI and data workloads to cloud platforms (Azure preferred) ensuring security and performance.
• CI/CD and DevOps:Implement advanced CI/CD pipelines usingGitHub Actions automated builds and deployments.
• Cross-Functional Collaboration:Partner with product data science and infrastructure teams to deliver AI-driven features and solutions.
• Technical Governance:Ensure adherence to GMs coding standards security practices and documentation requirements.
• Innovation and Strategy:Identify emerging AI technologies and integrate them into GMs ecosystem to maintain competitive advantage.

Your Skills & Abilities (Required Qualifications):

• Bachelors degree (or higher) in Computer Science Engineering or related field (or equivalent experience)
• 10 yearsexperience in software engineering with a strong full-stack background
• 5 yearsexperience in people management leading engineering teams in complex environments
• Proven AI development experiencebuilding and deploying AIenabled solutions onGLEANandDBX Genieplatforms (or closely related internal AI platforms) including prompt design orchestration integration and evaluation
• Strong knowledge ofcloud platforms(Azure preferred) and cloud-native architectures
• Experience withbig data technologies(Spark) and advanced SQL
• Strong data platform experience including:
  Working with modern data platforms (e.g. data lakes DBX)
  Designing and consuming data products APIs and pipelines for analytics and AI
  Understanding of data governance security and data quality concepts
• Advanced CI/CD knowledge and pipeline development using GitHub Actions.
• Excellent communication and leadership skills

What Will Give You A Competitive Edge (Preferred Qualifications)

• Demonstrated success inenterprise-scale AI deploymentsand integrating AI into mission-critical workflows
• Experience indata platform modernizationand optimizing complex data pipelines for AI workloads
• Proven track record ofleading cloud migrationsfor AI and data platforms especially to Azure
• Familiarity withGMs internal standards compliance frameworks and ability to navigate complex corporate environments
• Strong ability todrive technical innovation influence architecture decisions and manage organizational change
• Experience collaborating withdata science teamsto operationalize machine learning models into production systems

Company Vehicle:

Upon successful completion of a motor vehicle report review you will be eligible to participate in a company vehicle evaluation program through which you will be assigned a General Motors vehicle to drive and evaluate.

Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.

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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 were looking out for your well-beingat work and at homeso you can focus on realizing 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 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. To learn more visit How we Hire.

Accommodations

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