AI Infrastructure Engineer

Scout Motors • Charlotte, NC

1d • Onsite

About The Position

Scout Motors is looking for an AI Infrastructure Engineer to join their team. This role will be instrumental in building and maintaining the AI platform and tools that support Machine Learning (ML) and Large Language Model (LLM) workloads. The engineer will be responsible for designing, deploying, and operating the infrastructure, containerizing and deploying AI services, and building CI/CD pipelines for AI models. The position involves working with cloud and on-prem environments, automating infrastructure provisioning, monitoring system performance, and ensuring the reliability and transparency of AI systems. Security updates, patching, and vulnerability remediation are also key responsibilities, as is integrating AI tools with existing systems and researching new AI technologies. The role is based in Charlotte, NC, requiring 4-5 days per week in the office, with potential for occasional travel.

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.
• Collaborate with engineering, data, and product teams to support AI initiatives.
• Excellent problem-solving and troubleshooting skills.
• Effective communication and collaboration skills.
• Minimum of High School Diploma, GED or equivalent required for all roles at Scout Motors, Inc.

Nice To Haves

• You treat colleagues with respect.
• You have a desire for clean implementations but are also humble in discussing alternative solutions and options.
• A teaching and coaching approach to guiding engineers and teams in approaches.

Responsibilities

• Install, configure, and maintain AI platform and tools.
• Design, deploy, and operate infrastructure supporting ML and LLM workloads.
• Build, containerize, and deploy AI services using Docker.
• Build and maintain Machine Learning CI/CD pipelines for training, testing, and deployment.
• Deploy and manage AI services across cloud and on-prem environments.
• Automate infrastructure provisioning using Terraform and Infrastructure-as-Code best practices.
• Monitor system performance, reliability, and scalability of AI platforms.
• Implement observability for agentic AI systems to ensure reliability, transparency, and debuggability.
• Perform regular security updates, patching, access control, and vulnerability remediation.
• Integrate AI tools with APIs, data platforms, and internal systems.
• Research, evaluate, and prototype new AI, LLM, and MLOps tools.
• Troubleshoot infrastructure, data, and deployment issues.
• Research, test, and prototype emerging AI technologies.
• Document system architecture, deployment processes, and operational runbooks.

Benefits

• Competitive insurance including: Medical, dental, vision and income protection plans
• 401(k) program with: An 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

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Associate degree