Sr. Software Engineer - AI Engineering and Productivity

General Motors is hiring a Senior Software Engineer for its AI Engineering and Productivity team to build data-intensive, AI-enabled capabilities that support Product Development engineering.

Responsibilities

• Design, develop, and maintain data-driven and AI-enabled applications and services for Product Development engineering teams
• Develop high-quality, performant SQL including queries, functions, and stored procedures for complex data transformations and modeling across enterprise platforms (SQL Server, Oracle, PostgreSQL)
• Build and optimize Databricks (DBX) pipelines and workflows for batch and near-realtime data processing
• Create backend services and APIs using Java and/or Python to integrate data, business rules, and user workflows into reusable components
• Develop enterprise-grade applications using Kubernetes/Docker, Quarkus, Java, Angular, PostgreSQL, and other GM-approved tooling
• Partner with data science and AI teams to productionize AI/ML and LLM solutions, including feature pipelines, inference integrations, monitoring, and continuous improvement
• Identify and remediate issues across code quality, patterns, performance, security, and data correctness using code quality analysis and remediation approaches
• Contribute to solution design, including architecture, patterns, and technology selections aligned with GM standards and Statement of Technical Direction
• Apply engineering best practices: code reviews, automated testing, branching strategies, CI/CD pipelines (for example GitHub Actions), observability, and secure coding practices
• Collaborate with cross-functional teams (product owners, data engineers, architects, business stakeholders) to refine requirements, define acceptance criteria, and deliver incremental value in Agile/SCRUM
• Troubleshoot and resolve production issues across data, application, and infrastructure, including root cause analysis, stable fixes, and documentation
• Navigate complex corporate processes to remove project roadblocks and keep delivery on track
• Provide guidance and mentoring to engineers to help grow skills in SQL, Databricks, cloud, and AI-related technologies
• Document software and data solutions and ensure technical documentation aligns with GM standards for reuse across VEQ and PD Business Systems

Requirements

• Bachelor’s Degree in Computer Science, Software Engineering, Information Systems, Engineering, or a related field, or equivalent experience
• 6+ years of experience delivering enterprise or full stack software solutions using Java/JEE and Python, with preferably Angular
• 3+ years of experience with complex SQL queries, functions, and stored procedures, including performance tuning on large datasets
• 3+ years of experience building or supporting data pipelines, ETL/ELT processes, or datacentric applications on distributed or cloud platforms (Databricks, Spark, or similar)
• 3+ years of experience with Kubernetes/Docker, Quarkus, and cloud platforms such as Azure, AWS, or GCP
• Experience working in Agile/SCRUM development methodologies including backlog refinement, sprint planning, and incremental delivery
• Hands-on DevOps practices using Git/GitHub, code reviews, automated builds, automated testing, and CI/CD pipelines (for example GitHub Actions)
• Willingness and ability to learn and apply AI concepts, working with data and APIs supporting AI/ML and LLM-based solutions
• Strong problem-solving skills to break down complex technical and data challenges into actionable steps
• Excellent written and verbal communication skills across technical and nontechnical stakeholders
• Ownership mindset with accountability for quality and a focus on measurable value to internal customers

Technologies

• SQL Server, Oracle, PostgreSQL, SQL
• Databricks (DBX), Spark
• Java, JEE, Python
• Kubernetes, Docker, Quarkus, Angular, Azure, AWS, GCP
• ETL/ELT
• AI/ML, LLM
• CI/CD pipelines, Git, GitHub, GitHub Actions
• Agile/SCRUM

What Will Give You a Competitive Edge (Preferred Qualifications)

• Master’s Degree in Computer Science, Engineering, Information Systems, or a related field
• 10+ years of experience delivering enterprise-grade or global, scalable software applications, including data-intensive or analytics-focused solutions
• Deep hands-on experience with Databricks (Delta tables, notebooks, jobs, workflows) and/or Spark for data engineering, analytics, or AI workloads
• Proven experience migrating applications and complex data workloads to Azure or other cloud platforms, including managed data, messaging, and API services
• Experience working with or supporting AI/ML initiatives (feature engineering, model integration, AI/LLM service integration, monitoring, and MLOps concepts)
• Knowledge of relational and dimensional data modeling, data quality practices, metadata management, and data governance
• Experience with observability and reliability practices (logging, metrics, tracing, dashboards, alerting, SRE concepts) for data and application services
• Ability to influence technical direction, establish reusable patterns and standards, and mentor less experienced engineers
• Ability to manage multiple initiatives and priorities in a fast-paced environment while maintaining high engineering standards

Immigration Sponsorship

• GM does not provide immigration-related sponsorship for this role
• Do not apply if you will need GM immigration sponsorship now or in the future

Work Location / Hybrid

• Hybrid role
• Expected to report to a specific location at least 3 times a week (or other frequency dictated by the manager)

Relocation Benefits

• Relocation benefits are available for candidates who qualify under company policy