Senior AI-Driven Systems Engineer (Design & R&D)

General Motors Company; Warren (MI); Hybrid; USD 120,000 - 170,000; Full time

Job summary

General Motors is seeking a Sr. Systems Engineer to define, analyze, and evolve AI-enabled systems for Global Design and Product Development engineering teams.

You will translate complex needs into practical system solutions, evaluating AI opportunities and guiding capabilities from discovery through production. This blended role focuses on systems thinking, solution definition, and technical leadership rather than day-to-day development, collaborating with AI, data, architecture, and business

Qualifications

• Bachelor's degree in a related field or equivalent experience.
• 6+ years of experience in systems engineering, analysis, or architecture.
• Experience evaluating or operationalizing AI/ML services and LLM APIs.
• Experience with SQL, Databricks, and data pipelines.
• Experience with APIs, cloud services, and enterprise integration patterns.
• Strong communication and stakeholder engagement.

Responsibilities

• Lead discovery, systems analysis, solution definition, and continuous improvement for AI-enabled systems.
• Facilitate discussions with stakeholders to define problems and delivery plans.
• Identify AI/ML use cases with value, data readiness, and security considerations.
• Analyze current-state processes and data flows for modernization.
• Define future-state capabilities and integration patterns.
• Guide AI capabilities from concept to production with cross-functional teams.

Skills

Systems engineering

AI/ML

Data/ETL

SQL

Python

Java

Cloud

Security

Education

Bachelor's degree

Tools

Databricks

Docker

Kubernetes

Job description

General Motors is seeking a Sr. Systems Engineer to define, analyze, and evolve AI-enabled systems for Global Design and Product Development engineering teams.

You will translate complex needs into practical system solutions, evaluating AI opportunities and guiding capabilities from discovery through production. This blended role focuses on systems thinking, solution definition, and technical leadership rather than day-to-day development, collaborating with AI, data, architecture, and business