General Motors

Senior Software Engineering Manager – AI Development

General Motors

full-time

Posted on:

Location Type: Hybrid

Location: Austin • Missouri • Texas • United States

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Job Level

Senior

Tech Stack

AzureCloudSparkSQL

About the role

  • 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.

Requirements

  • 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
Benefits
  • 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.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
AI developmentfull-stack developmentdata pipeline designbig data technologiesadvanced SQLcloud-native architectureCI/CDGitHub Actionsdata governancedata quality
Soft skills
leadershipmentorshipcommunicationcollaborationperformance managementinnovationstrategic thinking