Forward Deployed Engineer

Rxo Managed Transport•Southfield, MI

49d•Onsite

About The Position

Accelerate your career at RXO RXO is a leading provider of transportation solutions. With cutting-edge technology at the center, we're revolutionizing the industry with our massive network and commitment to finding solutions for every challenge. We create more efficient ways for shippers and carriers to transport goods across North America. As a Forward Deployed Engineer at RXO you will partner directly with one of our largest automotive customers. In this role, you’ll embed within customer operations to identify inefficiencies and design AI-driven solutions that improve performance, visibility, and decision-making in real time. This is a highly visible, customer-facing role that blends engineering, operations, and strategy — ideal for someone who enjoys solving real-world problems and seeing their work deployed in live environments. Please note this role will sit on site at our Southfield, MI location

Requirements

Bachelor’s degree in Computer Science, Data Science, Engineering, Operations Research, or a related quantitative field
3+ years of experience in data science, AI/ML, or advanced analytics
Strong command of statistics and optimization techniques to drive operational improvement
Advanced proficiency in Python, SQL, PowerBI/Tableau, and CPLEX, with hands-on experience in ML, Agentic AI, and GenAI platforms and frameworks (GCP tech stack preferred)
Proven track record of deploying predictive AI models and optimization algorithms to solve business problems
Experience designing and implementing automated workflows and AI-driven solutions to optimize business processes
Proficiency in TMS (Oracle OTM preferred), WMS/YMS, and ERP workflows, with experience integrating modern AI via APIs into legacy systems
Ability to communicate complex technical concepts clearly to non-technical stakeholders
Be independent, own your work and think, act and build fast

Nice To Haves

5+ years of relevant experience
Advanced degree (MS or PhD) in Computer Science, Data Science, Engineering, Operations Research, or a related quantitative field
Experience in supply chain, logistics, or transportation operations
Background in a customer-facing or consulting role
Proven track record of delivering AI-driven solutions that drive measurable business impact
Proven track record of monetize analytical insights by transitioning AI solutions from R&D to product design and delivery
Measurable financial impact on operational performance through stakeholder engagement and independent execution

Responsibilities

Partner with customer stakeholders on-site to understand operational challenges and identify opportunities for AI-driven solutions
Design, build, and deploy machine learning models to improve forecasting, routing, and supply chain performance
Develop automation tools to reduce manual workflows and increase operational efficiency
Translate complex data into clear, actionable insights for both technical and non-technical audiences
Integrate AI solutions into existing systems such as TMS, WMS, and ERP platforms using APIs and modern cloud tools
Monitor performance of deployed solutions and continuously iterate to drive measurable improvements
Act as a bridge between RXO’s technology, product, and operations teams to deliver scalable solutions
Navigate high-stakes environments where system uptime impacts production lines
Drive adoption at the floor level and navigate ambiguity with confidence
Identify inefficiencies and independently prototype solutions