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 Scout Motors and be part of shaping the future of transportation. If you're ready to drive change and make history, apply now! About the team The AI Team is responsible for building the organization’s intelligent technology capabilities by designing, developing, and scaling AI-powered products and platforms across the enterprise. The team combines expertise in machine learning, generative AI, data engineering, and platform infrastructure to deliver innovative solutions that improve business outcomes and accelerate digital transformation. The team focuses on: Developing machine learning and generative AI solutions that solve high-impact business problems. Building scalable AI infrastructure, including model training, deployment, and inference platforms. Creating reusable AI platforms, APIs, and shared services for enterprise-wide adoption. Partnering with product, engineering, data, and business teams to identify and prioritize AI use cases. Evaluating emerging AI technologies and rapidly prototyping new capabilities. Establishing best practices in MLOps, 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 databases, knowledge repositories, and model-ready data pipelines. Lead the design, training, fine-tuning, deployment, and lifecycle management of machine learning and generative AI models. Design and oversee ETL/ELT pipelines in Python to support model training, inference, retrieval-augmented generation (RAG), and intelligent automation workflows. Lead development of AI-powered dashboards and observability platforms to monitor model performance, trends, forecasts, drift, and operational health. Design and implement resilient AI infrastructure components, ensuring high availability, scalability, reliability, and performance for training and inference workloads. Establish governance standards to ensure AI systems adhere to enterprise data quality, security, privacy, and compliance policies. Build and govern MLOps / LLMOps frameworks including m…