Lead, AI Engineering

Here at Scout Motors, we're carrying forward the heritage of one of the most iconic American vehicles in history. A vehicle dating back to 1960. One that forged the path for future generations of rugged SUVs and trucks and will do so once again. But Scout is more than just a brand, it’s a legacy steeped in a culture of exploration, caretaking, and hard work. The Scout brand is all about respect. Respect for the past and the future by taking an iconic American brand that hasn’t been around for a while, electrifying it, digitizing it, and loading it with American innovation. Respect for communities by creating a company that stands for its people and its customers. Respect for both work and play, with vehicles that are equally at home at a camp site, a job site, or on a Tuesday commute. And respect for our customers by developing two powertrains that meet their requirements — an all-electric powertrain as well as the Harvester™ range extender powertrain which includes a built-in gas-powered generator with an estimated 500 miles of combined range. At Scout Motors, we empower our talented, inclusive, and entrepreneurial teams to innovate. What makes a Scout employee? Someone who is a visionary and a leader, who seeks new paths and shares lessons learned. A knowledgeable doer who collaborates across the company to build better. A go-getter with unrivaled passion. Join us at Scou [... source excerpt omitted ...] s, LLMOps, governance, security, and responsible AI. The AI Team operates at the intersection of innovation and engineering excellence, transforming advanced AI technologies into production-grade enterprise solutions. What you’ll do Become part of an iconic brand that is set to revolutionize the electric pick-up truck & rugged SUV marketplace by achieving the following: Lead the design, implementation, and evolution of scalable AI platforms Collaborate cross-functionally with product managers, architects, developers, data engineers, and business leaders to deliver robust, production-grade AI solutions. Design end-to-end AI data architectures, including feature stores, vector [... source excerpt omitted ...] 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 or master’s degree in computer science, Artificial Intelligence, Information Technology, Engineering, or 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, with experience in enterprise-scale environments such as manufacturing, automotive, or similarly complex industries. 3+ years of experience leading or mentoring AI engineering, ML engineering, or pl