AI Infrastructure Engineer

Scout Motors
Charlotte, NC
Job Description
Role Overview

Join Scout Motors, a company that empowers talented teams to innovate and shape the future of transportation. As an AI Infrastructure Engineer, you will be part of an iconic brand that is revolutionizing the electric pick-up truck & rugged SUV marketplace. You will install, configure, and maintain AI platforms and tools, design and deploy infrastructure supporting ML and LLM workloads, and automate infrastructure provisioning using Terraform and Infrastructure-as-Code best practices.

What You Will Do

Your day-to-day responsibilities will include building, containerizing, and deploying AI services using Docker, deploying and managing AI services across cloud and on-prem environments, and monitoring system performance, reliability, and scalability of AI platforms. You will also implement observability for agentic AI systems, perform regular security updates, and integrate AI tools with APIs, data platforms, and internal systems.

Why It Might Be a Fit

We are looking for a visionary and a leader who seeks new paths and shares lessons learned. A knowledgeable doer who collaborates across the company to build better. A go-getter with unrivaled passion. You will be comfortable with change and flexible in a fast-paced, high-growth environment, and you will take a collaborative approach to achieve ambitious goals.

Requirements

  • Bachelor's degree in computer science, information technology, or related field or equivalent work experience.
  • 8+ years Practical experience with LLM platforms, LLMOps, and MLOps.
  • Experience deploying and maintaining AI or data platforms in production.
  • Hands-on experience with AI/automation tools.
  • Experience designing and orchestrating agentic automation workflows.
  • Strong experience with Terraform and Infrastructure-as-Code.
  • Proven experience deploying applications using Docker (Docker files, image optimization, container lifecycle).
  • Expertise with cloud platforms such as AWS.
  • Expertise with CI/CD tooling (GitHub Actions, GitLab CI).
  • Strong Knowledge of Kubernetes and orchestration.
  • Solid understanding of networking.
  • Experience supporting high-availability, production AI systems.
  • Scripting skills (Python, PySpark, Bash).
  • Knowledge of security best practices, patch management, and access controls.

Benefits

  • Competitive insurance including Medical, dental, vision, and income protection plans
  • 401(k) program with employer match and immediate vesting
  • Generous Paid Time Off including 20 days planned PTO, as accrued, 40 hours of unplanned PTO, and 14 company or floating holidays annually
  • Up to 16 weeks of paid parental leave for biological and adoptive parents of all genders
  • Paid leave for circumstances related to bereavement, jury duty, voting time, or military leave
]]>