Artificial Intelligence Jobs in Lexington, KY

Lead medium- to large-scale robotics and product development projects from concept through deployment. Responsibilities include managing cross-functional technical teams, project scope, schedules, budgets, resources, risks, quality, KPIs, stakeholder communications, and change management. The role partners with engineering, software, manufacturing, supply chain, operations, and leadership teams while driving accountability, continuous improvement, customer satisfaction, and successful delivery of autonomous robotic solutions.

Own supplier-side pricing, yield, monetization, retention, and churn analytics for a B2B marketplace. Build predictive models, dashboards, data models, pricing frameworks, cohort analyses, and A/B tests. Partner with product, operations, engineering, sales, finance, and customer success leaders to identify revenue opportunities, optimize advertising and incentive programs, improve supplier retention, and translate complex marketplace dynamics into actionable business decisions.

Own end-to-end technical program management for Xometry’s Pricing & Manufacturability portfolio, including pricing, DFM, Drawing AI, CAD, and ML model initiatives. Coordinate engineering, product, data science, operations, sales, and finance teams through planning, execution, staged rollout, production monitoring, and post-launch optimization. Establish scalable TPM processes, manage risks and dependencies, communicate with executives, and drive continuous improvement across multi-team software and ML programs.

Leads major cross-functional ML and AI initiatives, owns an 18–24-month technical roadmap, and influences engineering, product, operations, and business priorities. Architectures scalable end-to-end ML systems, advances generative AI and 2D/3D modeling capabilities, removes technical and operational obstacles, mentors teams, and drives measurable revenue, cost, quality, and efficiency improvements. Serves as a subject-matter expert for ML infrastructure, data pipelines, model governance, tooling, and production operations.

Leads robotics and AI engineering teams developing production-grade robotic systems, real-time computer vision models, ROS/ROS 2 control pipelines, and edge-deployed deep learning solutions. Owns vision pipeline architecture, object detection, segmentation, tracking, 3D pose estimation, data annotation, model training, MLOps, system integration, and performance targets. Also provides technical architecture guidance and manages engineering team capabilities.

Supports consulting clients in identifying, prioritizing, and implementing Generative AI solutions. Responsibilities include facilitating workshops, analyzing requirements and processes, supporting proof-of-concepts, exploring data, developing documentation, testing solutions, tracking project plans, translating business needs into technical specifications, and delivering GenAI training. The role emphasizes Microsoft AI technologies, prompt engineering, Agile and SDLC practices, continuous AI learning, and client collaboration.

Lead the Generative AI team by setting technical direction, developing large-scale models, and mentoring team members while collaborating across departments.