AI Agent Engineer

Job Description

As an AI Agent Engineer you will design build and scale enterprise integrations and data pipelines that modernize how systems work together across General Motors. From the software and core IT side of the transformation you will focus on connecting Serval integrations SaaS platforms enterprise AI tools and GMs core business systems through secure reusable and scalable integration patterns.

This role is a strong fit for an experienced engineer who can independently deliver complex integration solutions translate business and technical requirements into practical system designs and build supportable production-ready pipelines that align with enterprise standards. You will partner closely with product engineering technical program management security and business stakeholders to enable reliable data flow workflow continuity and platform interoperability across GM while contributing reusable patterns that can be adopted broadly across the enterprise.

• Build reusable services accelerators and reference integration templates so transformation teams can solve repeatable connectivity needs more consistently.

• Apply enterprise platform guardrails by aligning integration designs with data standards identity guidelines security policies and operational requirements.

• Partner with Security Privacy Identity Information Lifecycle Management (ILM) and Retention teams to support workflows that process sensitive or regulated data.

• Evaluate incoming integration requests and recommend the appropriate technical path using approved platform capabilities configuration options or custom engineering.

• Define integration architectures that account for system boundaries data ownership reliability observability failure handling and long-term sustainment.

• Design build and maintain robust resilient and observable integrations using APIs webhooks scripts connectors middleware services and orchestration logic.

• Define source-to-destination data mappings transformation logic exception-handling patterns validation rules and monitoring approaches that support reliable day-to-day operations.

• Modernize legacy interfaces manually routed workflows platform-specific automations and older integrations into scalable API-driven and event-based integration patterns.

• Connect Serval integrations with core GM platforms including identity services reporting environments asset repositories enterprise applications and approved AI platforms.

• Support end-to-end workflows that move data and trigger actions across enterprise systems.

• Troubleshoot integration failures across multi-system environments and improve performance reliability and supportability.

• Design test and refine prompts for large language models used within enterprise workflows and integration solutions.

• Develop prompt templates context strategies grounding approaches structured outputs guardrails and validation steps that improve accuracy consistency and reliability.

• Integrate LLM capabilities with enterprise applications APIs data sources identity services and downstream systems while addressing security privacy latency and failure-handling requirements.

• Support tool calling workflow orchestration human-in-the-loop controls and exception handling for AI-enabled processes.

• Apply practical evaluation and monitoring approaches to assess prompt performance workflow outcomes and production behavior.

• Design and support coexistence models that allow legacy modern and internal platforms to interoperate effectively during phased transformation waves.

• Preserve workflow continuity where historical data inactive-user content or core systems must remain on legacy platforms during transition.

• Support cutover sequencing permissions validation metadata mapping data validation and post-deployment stabilization to reduce operational disruption.

• Identify integration risks and dependencies early and coordinate mitigation across technical and business stakeholders.

• Partner directly with transformation Product Leads and Technical Program Managers within business units to integrate Serval capabilities and enterprise platforms into real-world operational processes.

• Provide technical leadership through design reviews implementation guidance troubleshooting and engineering best practices across the program.

• Author technical designs dependency maps data mappings interface specifications operational runbooks and handover materials that support long-term sustainment of integrated solutions.

• Support validation troubleshooting hypercare incident resolution and early-adoption activities during rollout.

• Contribute practical feedback that improves integration governance support models reusable patterns and future delivery approaches.

• 7 years of hands-on experience in integration engineering systems engineering software engineering platform architecture or enterprise application integration within complex enterprise environments.

• Strong systems-thinking capability with proven experience mapping dependencies across applications data layers identity services integrations and business processes.

• Proven ability to independently lead complex integration initiatives and manage competing priorities across a highly matrixed organization.

• Bachelors degree in Computer Science Information Technology Engineering Information Systems or a related technical field or equivalent practical experience.

• Strong production-level proficiency in Python and core scripting or automation frameworks.

• Extensive experience building and supporting enterprise-grade integrations using REST APIs webhooks middleware solutions connectors event-driven services and ETL or data-transformation logic.

• Strong understanding of cloud-based integration patterns modern application architecture Git-based version control structured testing and debugging integration issues across multi-system environments.

• Experience designing secure supportable integrations across SaaS platforms enterprise AI tools Serval integrations and internal enterprise systems.

• Experience with source-to-destination mapping data transformation schema management validation error handling monitoring and operational support.

• Extensive hands-on experience prompting large language models for business technical or automation use cases.

• Experience designing and evaluating prompt templates context windows grounding strategies structured outputs guardrails and validation logic.

• Experience integrating LLMs with enterprise applications APIs tools data sources and workflow orchestration components.

• Familiarity with tool calling retrieval-augmented generation agent or workflow orchestration human-in-the-loop processes and LLM observability or evaluation.

• Ability to balance AI solution performance with security privacy reliability explainability cost and supportability requirements.

• Strong foundational knowledge of enterprise authentication authorization identity integration access-control frameworks and secure API practices.

• Experience partnering with Security Privacy Identity ILM Retention and compliance stakeholders on integration designs and risk remediation.

• Proven history of working effectively with product managers engineering teams TPMs security leads and business stakeholders.

• Strong written and verbal communication skills including the ability to explain technical tradeoffs architecture risks data flows and engineering decisions to nontechnical partners.

• Direct experience supporting Serval integrations or comparable enterprise integration and orchestration platforms.

• Experience connecting enterprise workflows to modern data and AI ecosystems including LLM platforms enterprise search automation tools and data platforms.

• Familiarity with corporate data retention ILM privacy frameworks and regulated data controls in large-scale enterprise environments.

• Experience supporting automated testing cutover planning data validation hypercare support and long-term sustainment models.

• Experience designing reusable integration frameworks reference architectures templates accelerators and operational standards.

• Familiarity with event-driven architecture message-based integration middleware API management data pipelines and cloud-native services.

• Experience leading modernization migration transformation or coexistence initiatives involving multiple enterprise platforms.

• Relevant cloud integration systems engineering cybersecurity or AI certifications or equivalent practical experience.

GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship entry of GM as the immigration employer of record on a government form and any work authorization requiring a written submission or other immigration support from the company (e.g. H1-B OPT STEM OPT CPT TN J-1 etc). This role is categorized as hybrid. This means the selected candidate is expected to report to a specific location at least 3 times a week or other frequency dictated by their manager. This job may be eligible for relocation benefits.

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.