AI Agent Engineer
At a glance
Mid-level AI Engineering role at Generalmotors. Warren · full-time · no salary stated · we estimate $132,450–$205,151 across the United States.
Generalmotors has not published a salary for this role. The figure below is our estimate, not theirs.
aimlroles summary, based on the employer's posting.
What you'll do
- Build AI agents and workflows that automate or support employees’ knowledge work
- Turn business needs into agent designs with tool coordination, routing rules and safeguards
- Connect agents to LLM services, enterprise APIs, collaboration tools and knowledge sources
- Set up monitoring, evaluations and feedback loops to improve agent reliability and output quality
- Document agent designs and contribute reusable development patterns with technical and business teams
What you bring
- A computer science, engineering or data science degree, or equivalent practical experience
- Three to seven or more years in software or AI/ML engineering within complex enterprise settings
- Hands-on work with LLM applications, AI frameworks or agent development tools
- Strong ability in one modern programming language, plus knowledge of RAG, prompt design and REST APIs
- Experience delivering tested, observable production services using microservices or serverless approaches
Who this fits
This role suits an engineer who can take AI agents from early prototypes through production, while working with technical teams and business subject-matter experts. It is hybrid in Warren, with at least three office days each week. GM does not offer immigration sponsorship, and relocation costs are not covered.
From the employer
Job Description
The Role:
We are seeking an AI Agent Engineer to design, build, and operationalize AI-powered agents that enhance employee productivity and decision-making in a complex enterprise environment. The ideal candidate combines strong AI/ML foundations, hands-on experience with agent frameworks, and a pragmatic approach to delivering business value in partnership with cross-functional teams.
Experience with Glean (or similar enterprise AI search/assistant platforms) is a strong plus.
What You'll Do:
Design and develop AI agents
Engineer and implement AI agents and workflows that automate and augment knowledge work.
Translate business requirements into robust agent designs, including tool orchestration, routing logic, and guardrails.
Prototype quickly, then harden solutions for reliability, scalability, and maintainability.
AI/ML and platform integration
Leverage LLMs and related AI services (e.g., retrieval-augmented generation, embeddings, vector search) to power agent capabilities.
Integrate agents with enterprise systems, APIs, and data sources (e.g., collaboration tools, knowledge repositories, ticketing systems).
Partner with platform teams (e.g., Glean, M365, internal APIs) to ensure secure and compliant integrations.
Agent lifecycle management
Define and implement monitoring, logging, and feedback loops to continuously improve agent performance.
Establish and maintain evaluation frameworks, metrics, and test harnesses for AI agent behavior and output quality.
Document agent architectures, decision logic, and dependencies for support and future enhancements.
Collaboration and ways of working
Collaborate closely with engineers, architects, data teams, and business SMEs in a highly matrixed, global environment.
Contribute to shared patterns, reusable components, and best practices for AI agent development.
Champion responsible AI, including security, privacy, compliance, and user trust considerations.
Your Skills & Abilities (Required Qualifications):
Bachelor’s degree in Computer Science, Engineering, Data Science, or related field; or equivalent practical experience.
3–7+ years of professional software engineering or AI/ML engineering experience in complex, enterprise environments.
Strong proficiency in at least one modern programming language (e.g., Python, TypeScript/JavaScript, Java).
Hands-on experience with LLM-based applications, AI frameworks, or agent tooling (e.g., LangChain, Semantic Kernel, custom orchestration frameworks).
Solid understanding of Prompt engineering and retrieval-augmented generation (RAG), RESTful APIs and integration patterns, and Data structures, algorithms, and basic ML/LLM concepts.
Experience building production services (microservices or serverless) with appropriate observability and testing.
What Will Give You A Competitive Edge (Preferred Qualifications):
Experience with Glean or similar enterprise AI search/assistant platforms (e.g., integrating sources, configuring tools, designing agents or workflows within the platform).
Experience with Microsoft 365 and AI assistants (e.g., Copilot) or other enterprise collaboration ecosystems.
Familiarity with Enterprise identity and access management concepts (e.g., RBAC, least privilege), Observability and telemetry for AI systems (e.g., logging, tracing, quality dashboards), and experimentation and A/B testing for AI features.
Background in user-centric design or close collaboration with UX teams for AI experiences.
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, we're looking out for your well-being–at work and at home–so 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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