Scout Motors
Lead, AI Engineering
$180K–$253K
Charlotte, North Carolina, United States +3 · Full-time · Posted May 22, 2026
- Location
- Charlotte, North Carolina, United States
Fremont, California, United States
Charlotte, NC
Fremont, California, United States - Experience
- 8+ years in AI/ML engineering, machine learning platforms, data engineering, or AI infrastructure; 3+ years leading or mentoring AI engineering, ML engineering, or platform engineering teams.
- Education
- Bachelor’s or master’s degree in computer science, Artificial Intelligence, Information Technology, Engineering, or a related field, or equivalent practical experience.
About the job
Leads the design and delivery of scalable enterprise AI platforms, data architectures, and production machine learning and generative AI systems.
What you'll do
- Lead AI platform, infrastructure, data pipeline, model lifecycle, and MLOps/LLMOps development.
- Partner across teams to deliver production-grade AI solutions, establish governance and monitoring, and evaluate emerging tools.
- Mentor AI engineers and guide engineering practices and architectural decisions.
What they ask for
- Bachelor’s or master’s degree in a related field, or equivalent practical experience.
- 8+ years of hands-on experience in AI/ML engineering, machine learning platforms, data engineering, or AI infrastructure; 3+ years leading or mentoring engineering teams.
- Experience designing and deploying end-to-end AI/ML and generative AI solutions, scalable data pipelines, and production models.
- Proficiency in Python, SQL, and modern AI/ML frameworks; hands-on experience with cloud AI services, AI data platforms, and MLOps/LLMOps.
Pay
$180,000.00 - $220,000.00 USD base salary; $209,000 - $253,000 USD base salary
Tools
Python, SQL, PyTorch, TensorFlow, Scikit-learn, LangChain, AWS SageMaker, Kubernetes
AI focus
Builds and scales enterprise AI platforms and production machine learning and generative AI, including LLM applications, RAG, intelligent automation, model lifecycle management, and MLOps/LLMOps.
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