AI Agent Engineer

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 Youll 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):

• Bachelors degree in Computer Science Engineering Data Science or related field; or equivalent practical experience.

• 37 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.

#LI-SB3

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

General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment email us or call your email please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.