Software Engineering Manager – AI Development
Job Location:
Warren, OH - USA
Monthly Salary:
Posted on:
Vacancies:
Job Summary
Job Description
The Role
The Software Engineering Manager AI Development will lead a high-performing engineering team delivering AI-powered products and platforms that enable data-driven decision making across the enterprise. This role combines deep technical leadership with hands-on peoplemanagement.Therole has a strong focus on building solutions on GMs Glean and DBX Genie platforms modern data platforms and enterprise-grade application architectures.
This leader will shape technical strategy own delivery outcomes end to end and partner across product data business architecture infrastructure and security teams to deliver scalable secure and business-ready AI solutions. The role is expected to help drive GMs broader AI direction while mentoring engineering talent andestablishinga strong culture of technical excellence operational discipline and innovation.
WhatYoullDo:
Lead and grow an engineering team of software and AI engineers including hiring coaching performance management career development and day-to-day delivery leadership.
Own end-to-end delivery of AI-enabled applications and services from problem definition and architecture through implementation testing deployment and ongoing support.
Lead the design and implementation of AI solutions on Glean and DBX platformsAgentsand DBX Genie translating business use cases into scalable reliable and governed solutions.
Shape technical strategy and architecture for AI and data-driven products including platform patterns integration strategy security observability resilience and operational support.
Drive best practices in software engineering across frontend backend data and workflow layers including clean architecture automated testing CI/CD and secure coding.
Partner with data platform teams to design and consume curated data products APIs and pipelines that support AI and analytics workloads at scale.
Establish and enforce engineering standards for code quality documentation design reviews reliability and production excellence.
Collaborate cross-functionally with product management UX enterprise architecture infrastructure governance and security teams to align roadmaps and remove delivery blockers.
Mentor senior and principal engineers building technical depth and leadership capacity across the team.
Identifyemerging AI capabilities and practical opportunities to integrate them into GM workflows and platforms in a safe scalable way.
Your Skills and Abilities (Required Qualifications)
Bachelors orMasters degree in Computer Science Engineering Information Systems or a related field or equivalent practical experience.
10 years of software engineering experience including substantial experience as a senior/principal engineer or technical lead.
5 years of direct people-management experience leading software engineering or AI/ML engineering teams
Proven experience building and deploying AI-enabledsolutions;including prompt/workflow design orchestration integration and evaluation.
Strong data platform experience including modern data lakes/lakehouses/warehouses data products APIs pipelines governance security and data quality concepts.
Full-stack engineeringexpertise including modern backend frameworks frontend frameworks and API design/integration.
Hands-on cloud experience preferably Azure including containerization microservices and CI/CD pipelines.
Demonstrated ability to lead complex cross-team initiatives while balancing technical depth execution discipline and stakeholder management.
Strong communication collaboration and organizational leadership skills.
What Will Give You a Competitive Edge (Preferred Qualifications)
Experience integrating LLMs and generative AI capabilities into production systems including safety observability and AI behavior evaluation.
Experience collaborating with data science andMLOpsteams to operationalize models in production including monitoring retraining and versioning.
Familiarity with enterprise platforms and standards in large regulated organizations including identity/access management compliance and risk controls.
Demonstrated success in enterprise-scale AI deployments andembeddingAI into mission-critical workflows.
Experience leading cloud migrations and modernization efforts for AI and data platforms.
Ability to influence architecture decisions drive innovation and lead organizational change across technical and business boundaries.
The ideal candidate will bring both principal-level technical judgment and strongpeopleleadership to scale GMs AI capabilities through governed high-impact solutions on approved enterprise platforms.
About GM
Our vision is a world with Zero Crashes Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better safer and more equitable for all.
Why Join Us
We believe we all must make a choice every day individually and collectively to drive meaningful change through our words our deeds and our culture. Every day we want every employee to feel they belong to one General Motors team.
Benefits Overview
From day one were looking out for your well-beingat work and at homeso you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.
Non-Discrimination and Equal Employment Opportunities (U.S.)
General Motors is committed to being a workplace that is not only free of unlawful discrimination but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.
All employment decisions are made on a non-discriminatory basis without regard to sex race color national origin citizenship status religion age disability pregnancy or maternity status sexual orientation gender identity status as a veteran or protected veteran or any other similarly protected status in accordance with federal state and local laws.
We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required where applicable to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more visit How we Hire.
Accommodations
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Required Experience:
Manager
About Company
GM is home to Chevrolet, Buick, GMC & Cadillac and has been leading the auto industry for over a century. See how we create a vehicle for every drive.
