Forward Deployed Engineer
RXO, Inc. · Southfield, MI · 2 wk ago
EngineeringFull-time
About the role
As a Forward Deployed Engineer at RXO, you will partner directly with one of our largest automotive customers to identify inefficiencies and design AI-driven solutions that improve performance, visibility, and decision-making in real time.
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
- Maintain and monitor performance of deployed solutions to drive continuous 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
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
- 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
- Independence, ownership of work, and the ability to think, act, and build quickly
Qualifications
- 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 monetizing 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