Staff Software Engineer – AI for Developer Productivity

Role Overview

• Define the technical vision for AI-powered developer productivity capabilities across engineering tools and workflows
• Design, develop, and deliver AI-powered solutions that reduce manual effort, accelerate issue resolution, and improve software quality across development, debugging, test analysis, issue triage, documentation, and engineering support workflows
• Partner with cross-functional teams to identify high-value AI use cases and translate them into scalable products, platforms, and reusable capabilities
• Integrate AI-powered capabilities into engineering tools, workflows, and automation platforms in ways that improve reliability, usability, and adoption
• Lead architecture and implementation decisions for AI systems spanning model access, orchestration, retrieval, evaluation, observability, security, and enterprise integration
• Drive productionization of AI capabilities within GM engineering environments, including cloud-hosted services, internal platforms, CI/CD systems, and developer tools
• Establish technical standards and best practices for responsible use of AI in engineering tools, including quality, traceability, maintainability, and cybersecurity considerations
• Serve as a subject matter expert and technical leader across organizational boundaries, influencing roadmaps, solution direction, and implementation priorities
• Mentor engineers on AI system design, prompt and workflow design, evaluation strategies, and toolchain integration without formal people-leader responsibility
• Present strategy, progress, recommendations, and demonstrations to technical leaders and partner organizations.

Requirements

• Bachelor’s degree in Computer Science, Software Engineering, Electrical Engineering, Computer Engineering, or a related technical field
• 10+ years of experience in software engineering, developer tooling, platform engineering, machine learning engineering, applied AI, or a closely related field
• Strong expertise building and shipping production software systems, with proficiency in Python and at least one additional language used in engineering tooling environments
• Demonstrated expertise applying AI and LLM-based approaches to engineering problems such as code analysis, workflow automation, knowledge retrieval, summarization, troubleshooting, or developer productivity support
• Strong understanding of software engineering fundamentals, system design, APIs, data flows, observability, and production operations
• Experience integrating AI-powered capabilities into enterprise platforms, engineering tools, or CI/CD systems
• Experience with cloud services, containerization, and orchestration technologies
• Strong knowledge of secure engineering practices and responsible AI guardrails
• Demonstrated success leading technically ambiguous, cross-functional efforts from concept through production deployment
• Excellent communication skills and the ability to influence technical direction across teams without formal authority
• Experience with developer platforms, build systems, testing systems, or internal engineering tools
• Experience balancing fast experimentation with production reliability, maintainability, and compliance.

Tech Stack

• Cloud
• Cyber Security
• Python

Benefits

• Paid time off including vacation days, holidays, and supplemental benefits for pregnancy, parental and adoption leave.
• Healthcare, dental and vision benefits including health care spending account and wellness incentive.
• Life insurance plans to cover you and your family.
• Company and matching contributions to a Defined Contribution Pension plan to help you save for retirement.
• GM Vehicle Purchase Plan for you, your family, and friends.