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# AI Infrastructure Engineer

- **Company:** Scout Motors
- **Location:** Charlotte, NC, United States (Remote available)
- **Experience:** Expert
- **Salary:** $140,000 - $170,000
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Bash Shell, Continuous Integration, Document Management Systems, Github, Monitoring of Systems, Python (Programming Language), Machine Learning, Software Deployment, Software Vulnerability Management, AI Infrastructure, Scripting, Large Language Models, Containerization, AI Platforms, Pyspark, Gitlab-ci, Kubernetes, Infrastructure Automation Frameworks, Information Technology, Patch Management, Data Management, Machine Learning Operations, Terraform, Docker
- **Published:** November 8, 2026
- **Apply:** https://www.careerjet.com/job/us7a93c9b19ba73263ff28353b1cb1b6d4/eaa

## About the Role

We expect all Scout employees to have integrity, curiosity, resourcefulness, and strive to exhibit a positive attitude, as well as a growth mindset. You'll be comfortable with change and flexible in a fast-paced, high-growth environment. You'll take a collaborative approach to achieve ambitious goals. Here's what else you'll bring:

 * 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. When a problem occurs, you run towards it not away.
 * Effective communication and collaboration skills. 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.
 * Minimum of High School Diploma, GED or equivalent required for all roles at Scout Motors, Inc.

## Description

Become part of an iconic brand that is set to revolutionize the electric pick-up truck & rugged SUV marketplace by achieving the following:

 * 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.

Location & Travel Expectations:

 * This role may be based out of the Scout Motors corporate headquarters in Charlotte, NC.
 * This role requires 4-5 days per week in the office, with regular in-person meetings and events.
 * Applicants should expect that the role will require the ability to convene with Scout colleagues in person and travel to participate in events on behalf of the company from time to time.