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AI Infrastructure Engineer

Scout MotorsCharlotte, North Carolina, United StatesInformation Technology
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Salary
Not listed
Job type
Full-time
Posted
3 Aug 2026
Status
Open · checked 7d ago

About this role

Role Overview

The AI Infrastructure Engineer position at Scout Motors is a full-time, exempt opportunity based at the company corporate headquarters in Charlotte, North Carolina. This role suits an experienced professional with a background in machine learning platforms, automation workflows, and cloud environments who wants to help revitalize an iconic American vehicle brand through electrification and digital innovation.

Key Responsibilities

Install, configure, and maintain AI platform tools while designing and operating infrastructure that supports machine learning and LLM workloads.
Build, containerize, and deploy AI services utilizing Docker alongside Infrastructure-as-Code automation practices with Terraform.
Construct and maintain machine learning CI/CD pipelines for training, testing, and deployment across cloud and on-premise environments.
Monitor system performance, reliability, and scalability of AI platforms while implementing observability for agentic AI systems.
Perform security updates, vulnerability remediation, access control, and patch management.
Integrate AI tools with data platforms, internal systems, and APIs while researching emerging AI and MLOps technologies.
Troubleshoot deployment issues and document system architecture, operational runbooks, and deployment processes.

Requirements

Minimum of a High School Diploma, GED, or equivalent, with a Bachelor's degree in computer science, information technology, or a related field preferred.
At least 8 years of practical experience with LLM platforms, LLMOps, MLOps, and deploying production AI or data platforms.
Hands-on experience with AI and automation tools, agentic automation workflows, and Terraform.
Proven expertise in deploying applications with Docker, cloud platforms such as AWS, and CI/CD tooling like GitHub Actions and GitLab CI.
Strong knowledge of Kubernetes, networking, and security best practices.
Proficiency in scripting languages including Python, PySpark, and Bash.
Availability to work 4 to 5 days per week in the office in Charlotte, North Carolina, with requirements for occasional travel and in-person events.

Skills and Tools

Python
AWS
Kubernetes
Docker
LLM and MLOps platforms
Terraform
PySpark and Bash
GitHub Actions and GitLab CI

Salary and Benefits

Initial base salary range between $140,000.00 and $170,000.00, with eligibility for an annual performance bonus program.
Competitive insurance coverage including medical, dental, vision, and income protection plans.
401(k) program featuring an employer match and immediate vesting.
Generous Paid Time Off including 20 days of planned PTO, 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 bereavement, jury duty, voting, and military obligations.

About the Company

Scout Motors carries forward the heritage of a classic American vehicle brand dating back to 1960, now electrifying and digitizing rugged SUVs and trucks. The company fosters a culture of exploration, respect, hard work, and innovation across inclusive and entrepreneurial teams.

How to Apply

To be considered for this career opportunity, applicants must be 18 years of age or older. Please visit the official Scout Motors careers page to submit your application and drive change with the team.

Skills and tech stack

PythonAWSKubernetesDockerLLMMLOpsTerraform

Questions candidates ask

Where is the AI Infrastructure Engineer role located?

This position is based out of the Scout Motors corporate headquarters in Charlotte, North Carolina, and requires working 4 to 5 days per week in the office.

What is the salary range for this position?

The initial base salary range is $140,000.00 to $170,000.00, and the role is eligible to participate in an annual performance bonus program.

How many years of experience are required?

Candidates must bring 8+ years of practical experience with LLM platforms, LLMOps, and MLOps, along with experience deploying AI or data platforms in production.

What technical skills are needed for this role?

Required technical competencies include Python, AWS, Kubernetes, Docker, Terraform, CI/CD tooling, and a solid understanding of networking and security best practices.

What benefits does Scout Motors offer?

Benefits include competitive medical, dental, and vision insurance, a 401(k) program with employer match and immediate vesting, up to 16 weeks of paid parental leave, and generous paid time off.

Ready to apply?

The application is on the official Scout Motors careers page.

Apply on company site