Forward Deployed Engineer

Please note this role will sit on site at our Southfield, MI location

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

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

It’d be great if you also have:

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

Does this sound like you? Check out what else RXO has to offer.

Why Join Us:

Our 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

Our Culture Our values are the key to our unique culture and our ability to deliver for everyone we serve. We do great things when we are inclusive and work together. To perform with excellence, we learn from one another, value diverse perspectives, operate safely and build strong relationships.

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.