Director, Fleet AI Engineering

Job description

A Day in the Life: The Director, Fleet AI Engineering will define, build, and scale AI/ML solutions that drive significant business impact. You’ll serve as a hands-on technical leader (player/coach), operating as a key individual contributor while leading a small team and partnering closely across product, data science, and engineering. This role requires strong technical understanding of modern AI systems (including how to debug and validate them) and a bias toward leveraging AI-assisted development workflows to accelerate delivery—especially for simulation-based optimization and real-time decisioning problems. The preferred candidate will sit at our corporate office in Atlanta, however, we are open to candidates located outside of the area to work remotely. The target starting rate is $130K; actual salary will be determined based on experience. What You’ll Do: - Solution Delivery: Own the end-to-end ML system lifecycle—from problem framing and offline evaluation to production deployment with observability, drift monitoring, controlled rollouts, and iteration based on real-world performance. - Simulation-Based Decisioning: Develop simulation environments to train and evaluate sequ...