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General Motors · 3 hours ago

Sr. Software Engineering Manager- AI Development

Austin, Texas, United States of America

Full-time

Hybrid

Senior Level, Lead/Staff

10+ years exp

General Motors is seeking a Sr. Software Engineering Manager- AI Development to lead the design, development, and delivery of advanced AI-driven solutions across GM’s enterprise platforms. This role combines technical expertise with leadership responsibilities, focusing on driving innovation in AI applications and managing a team of engineers to build scalable systems.

AutomotiveElectric VehicleInformation ServicesManufacturingTransportation

No H1B

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 using GLEAN and DBX 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 as Spark, 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 using GitHub 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 GM’s coding standards, security practices, and documentation requirements

Innovation and Strategy: Identify emerging AI technologies and integrate them into GM’s ecosystem to maintain competitive advantage

Qualification

AI developmentGLEAN platformDBX Genie platformCloud platformsBig data technologiesFull-stack developmentCI/CD knowledgeData platform experienceLeadership skillsCommunication skills

Required

Bachelor's degree (or higher) in Computer Science, Engineering, or related field (or equivalent experience)

10+ years experience in software engineering with a strong full-stack background

5+ years experience in people management, leading engineering teams in complex environments

Proven AI development experience building and deploying AI-enabled solutions on GLEAN and DBX Genie platforms (or closely related internal AI platforms), including prompt design, orchestration, integration, and evaluation

Strong knowledge of cloud platforms (Azure preferred) and cloud-native architectures

Experience with big 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