Senior AI Engineer: Generative AI for Logistics

GXO Logistics, Inc.; Virginia (MN); On-site; USD 120,000 - 165,000; Full time

Benefits offered by this job

Health insurance

401(k) retirement plan

Paid time off

Job summary

GXO Logistics, Inc. is seeking an AI Engineer to design, build, deploy, and maintain AI-powered solutions for modernizing supply chain workflows. You will lead RAG-driven initiatives, leverage LLM orchestration, and partner with product and IT teams to deliver scalable AI capabilities across the organization.

Responsibilities include designing data models, implementing secure pipelines, and mentoring engineers while aligning with organizational AI strategy and governance.

Qualifications

• Bachelor's degree in CS/AI/DS/IT or related field.
• 3–5 years in software engineering/AI/ML or data science.
• Experience with AI agent development frameworks (Google/OpenAI).
• Knowledge of MCP and A2A protocols.
• Proficiency with Python, APIs, SQL; familiarity with JS frontend.
• Cloud experience (GCP preferred, AWS/Azure ok).

Responsibilities

• Design, develop, deploy AI agents and software for supply-chain ops.
• Apply prompt engineering, RAG, LLM orchestration for enterprise use cases.
• Incorporate DevOps and cybersecurity best practices, CI/CD.
• Build data models and pipelines for scalable AI solutions.
• Develop AI agent software using Python, SQL, Flask/FastAPI.
• Containerize with Docker and Kubernetes.
• Collaborate with stakeholders to define requirements and educate teams.
• Communicate status, risks, and opportunities with leadership.
• Mentor junior engineers and provide architectural guidance.
• Stay current on AI tech and contribute to the roadmap.

Skills

AI/ML engineering

Python

SQL

Cloud platforms

Docker & Kubernetes

DevOps

Education

Bachelor's degree in CS/AI/DS/IT

Master's degree

Tools

Google Cloud Platform

OpenAI Agents SDK

GCP Vertex AI Agent Builder

Snowflake

Docker

Kubernetes

Job description

GXO Logistics, Inc. is seeking an AI Engineer to design, build, deploy, and maintain AI-powered solutions for modernizing supply chain workflows. You will lead RAG-driven initiatives, leverage LLM orchestration, and partner with product and IT teams to deliver scalable AI capabilities across the organization.

Responsibilities include designing data models, implementing secure pipelines, and mentoring engineers while aligning with organizational AI strategy and governance.