Forward Deployed Engineer
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. What your day-to-day will look like: 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
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
Benefits
- Comprehensive medical, dental, and vision plans
- 401(k) retirement plan with up to 5% company match
- Pre-tax accounts to help streamline eligible expenses
- Company-paid disability and life insurance
- Employee Assistance Program (EAP)
- Career and Leadership Development Programs
- Paid time off, company holidays, and volunteer days
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
