Principal Engineer, AI Acceleration

General Motors

. Identify high-leverage opportunities across GM where AI can improve speed, quality, or user experience .

Posted 10/15/2026full-timeUnited StatesLeadWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates extensive experience in software engineering with a focus on AI and LLM-enabled applications, integrating enterprise technologies, and establishing best practices for development and deployment. Proven ability to mentor teams, communicate effectively with diverse stakeholders, and drive the adoption of innovative solutions.

Highest-signal resume keywords

AI Solution DevelopmentLLM Application PatternsEnterprise IntegrationSoftware Engineering FundamentalsMentorship and Collaboration

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AI Application DevelopmentLLM-Enabled ApplicationsAPI IntegrationDistributed SystemsCI/CDTestingMonitoringSecurityOperational ExcellenceArchitecture

Soft Skills

CommunicationCollaborationAutonomyDecision-MakingMentoring

Tools & Technologies

Google WorkspaceFigmaJiraEnterprise Data PlatformsAI ToolsWorkflow Platforms

Industry Keywords

Software EngineeringAIUser ExperienceIncident ResponseLifecycle ManagementPrivacySecurityRisk ManagementObservabilityData Sources

Tech Stack

Tools & technologies

Distributed Systems

About the role

Key responsibilities & impact

Identify high-leverage opportunities across GM where AI can improve speed, quality, or user experience
Build and test AI-powered solutions, validate value with users, and move successful prototypes into reliable production capabilities
Develop solutions using GM-approved AI and enterprise technologies, integrating with Google Workspace, Figma, Jira, enterprise data platforms, and other services
Establish practices for requirements, architecture, testing, observability, security, privacy, access control, deployment, incident response, and lifecycle management
Partner with security, legal, privacy, and risk stakeholders on guardrails for safe and responsible AI use
Define success metrics and measure time saved, quality, adoption, cycle time, cost, and user satisfaction
Convert successful implementations into reusable architectures, patterns, components, documentation, and enablement
Help teams adopt new ways of working and extend solutions after initial delivery
Mentor engineers, conduct design and code reviews, and communicate tradeoffs to technical and executive audiences

Requirements

What you’ll need

10+ years of progressive software engineering experience, including delivery of production software used by real customers or employees
Experience serving as a Principal Engineer, senior technical leader, or equivalent role with influence across multiple teams or organizations
Hands-on experience designing and building AI- or LLM-enabled applications, agents, or automations across a wide range of AI tools and models
Strong understanding of LLM application patterns, including prompting, retrieval-augmented generation, tool use, context management, model selection, evaluation, and observability
Experience integrating AI solutions with enterprise applications, APIs, data sources, identity systems, and workflow platforms
Strong software engineering fundamentals, including architecture, APIs, distributed systems, testing, CI/CD, monitoring, security, and operational excellence
Ability to translate ambiguous business problems into clear product and technical strategies and deliver working solutions through iterative development
Ability to use data and user feedback to prioritize work and evaluate adoption, quality, and measurable impact
Success helping people and teams adopt AI tools and continue using them after rollout
Strong communication and collaboration skills with executives, technical experts, and frontline users
Ability to operate autonomously, make decisions with incomplete information, and take accountability for outcomes
No GM immigration-related sponsorship now or in the future; candidates must not require H1-B, OPT, STEM OPT, CPT, TN, J-1, or other immigration support

Benefits

Comp & perks

Relocation benefits available for candidates who qualify under company policy
Benefits supporting employee well-being at work and at home
Reasonable accommodations for job seekers with disabilities