Scout Motors
AI Infrastructure Engineer
$140K–$170K
Charlotte, North Carolina, United States +1 · Full-time · Posted Aug 3, 2026
- Location
- Charlotte, North Carolina, United States
Charlotte, NC - Experience
- 8+ years Practical experience with LLM platforms, LLMOps, and MLOps.
- Education
- Bachelor's degree in computer science, information technology, or related field or equivalent work experience. Minimum of High School Diploma, GED or equivalent required for all roles at Scout Motors, Inc.
About the job
Build and operate infrastructure, platforms, pipelines, and services for production AI, machine-learning, and LLM workloads across cloud and on-prem environments.
What you'll do
- Install, maintain, and monitor AI platforms and infrastructure; automate provisioning and manage security and reliability.
- Build and deploy containerized AI services and ML CI/CD pipelines; integrate AI tools with APIs, data platforms, and internal systems.
- Implement observability for agentic AI systems, troubleshoot deployments, and evaluate emerging AI and MLOps tools.
What they ask for
- 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 production AI or data platforms; designing agentic automation workflows; and supporting high-availability production AI systems.
- Strong experience with Terraform and Infrastructure-as-Code; Docker; cloud platforms such as AWS; CI/CD tooling; Kubernetes; networking; scripting; and security practices.
Pay
$140,000.00 - $170,000.00 USD base salary
Tools
Docker, Terraform, AWS, GitHub Actions, GitLab CI, Kubernetes, Python, PySpark, Bash
AI focus
Infrastructure and operations for AI, LLM, and ML workloads, including agentic automation and observability for agentic AI systems.
Model-written summary · the original posting is authoritative