
Lead, AI Engineering
About this role
The Lead, AI Engineering role at Scout Motors is a full-time position based in Charlotte, North Carolina or Fremont, California, designed for an experienced technology professional to spearhead enterprise artificial intelligence platforms. This leadership position suits a visionary technical expert with a background in scaling machine learning and generative AI solutions within complex industrial environments.
Role Overview
Operating within the Information Technology department, the Lead, AI Engineering is responsible for building intelligent technology capabilities by designing, developing, and scaling AI-powered products. The professional in this role will partner closely with product managers, developers, architects, and business leaders to deliver robust, production-grade solutions. This position requires working four days per week in the office at either the corporate headquarters in Charlotte, NC, or the location in Fremont, CA, alongside regular in-person collaboration and travel for company events.
Key Responsibilities
Requirements
Skills and Tools
Salary and Benefits
About the Company
Scout Motors carries forward the heritage of an iconic American vehicle brand dating back to 1960, electrifying and digitizing rugged SUVs and trucks with modern innovation. The company empowers talented, inclusive, and entrepreneurial teams to innovate, respecting both the past and the future while building products from the ground up.
How to Apply
Interested candidates should visit the official Scout Motors careers page to submit an application and drive the future of transportation.
Skills and tech stack
Questions candidates ask
What is the location of the Lead, AI Engineering role?
The role is based out of the Scout Motors corporate headquarters in Charlotte, North Carolina, or in Fremont, California, with a requirement to be in the office four days per week.
What is the salary range for this position in California?
The initial base salary range for California, Washington, and New York is $209,000 to $253,000 per year, plus eligibility for an annual performance bonus.
How many years of experience are required?
Candidates must have 8 or more years of hands-on experience in AI/ML engineering, machine learning platforms, data engineering, or AI infrastructure within enterprise environments.
What leadership experience is necessary?
Applicants must have at least 3 years of experience leading or mentoring AI engineering, machine learning engineering, or platform engineering teams.
What technical skills and frameworks are expected?
Required technical competencies include proficiency in Python, SQL, PyTorch, TensorFlow, LangChain, Kubernetes, Docker, Terraform, and cloud services on AWS or Azure.