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C.H. Robinson is seeking a Senior Software Engineer for the Global Forwarding team. You will lead the design and delivery of scalable software that modernizes freight planning, pricing, booking, and execution.
You’ll mentor engineers, drive AI-enabled automation, and influence architecture across multiple product areas. Role requires deep experience in distributed systems, APIs, and cloud-native practices, with a focus on reliability, security, and performance.
Remote
Remote
Full time
R49501
C.H Robinson is seeking a Senior Software Engineer role on our Global Forwarding
team which is expanding engineering capacity to support a growing portfolio of strategic modernization and automation initiatives. In this role, you will help design and deliver scalable solutions across the Global Forwarding platform and provide technical leadership as we continue modernizing how freight is planned, priced, booked, and executed. You will partner closely with engineering product managers, business stakeholders, and other leaders to define, estimate, and design complex, strategic solutions that delight our customers. You are responsible for driving innovation through leadership, influence and discussions. In addition, the role is also responsible for impacting and continuously improving our engineering process and mentoring other engineers across the organization. If you are someone not only comfortable using modern AI development tools, but is genuinely curious about how to build reliable, production-grade automation and autonomous agents in an enterprise environment, let’s talk!
This role can be based only in MN, IL or Kansas City
DUTIES AND RESPONSIBILITIES
The duties and responsibilities of this position consist of, but are not limited to, the following:
Lead the design and development of scalable software solutions that modernize and automate complex workflows across Global Forwarding
Translate ambiguous business and customer problems into durable technical solutions spanning pricing and rating, carrier contracts, shipment planning and execution, booking, visibility, documents, and operational workflows
Design and build AI-enabled and agentic solutions that automate repetitive knowledge work, assist with complex decision-making, and reduce manual intervention across the shipment lifecycle
Identify opportunities to apply large language models, intelligent agents, workflow orchestration, retrieval-augmented generation, and other AI capabilities to real business processes
Develop AI-assisted workflows that can interpret unstructured and semi-structured information, take appropriate actions across systems, and safely elevate exceptions to people when human judgment is required
Establish patterns for reliable enterprise AI, including evaluation, observability, human-in-the-loop controls, grounding, security, auditability, and appropriate guardrails
Experiment rapidly with emerging AI and agentic technologies, validate their business value, and evolve successful prototypes into maintainable production capabilities
Define interfaces and develop code across applications, APIs, services, data platforms, and shared capabilities; influence architectural direction across multiple product areas
Partner with product, engineering, operations, and business stakeholders to deeply understand Global Forwarding workflows and identify opportunities for automation, simplification, and improved decision support
Design solutions for high-volume operational environments where automation, resiliency, performance, and low-touch execution are critical
Build integrations across a highly interconnected Global Forwarding ecosystem, including internal platforms, APIs, carrier systems, external partners, messaging, and event-driven architectures
Provide technical leadership across initiatives that span multiple engineering teams and business domains, helping teams align on reusable patterns and common capabilities
Increase code quality through design reviews, code reviews, automated testing, and engineering best practices
Optimize, refactor, and reuse existing capabilities to improve performance, maintainability, scalability, and return on technology investment
Proactively identify performance, reliability, availability, and security risks and drive resolution across multiple systems or product areas
Write secure software and incorporate security, privacy, and data-governance considerations into traditional and AI-enabled solutions
Develop and maintain thorough technical documentation, architectural guidance, and reusable engineering patterns
Estimate software initiatives including dependencies, scope, effort, resources, technical risk, and skill needs
Maintain deep awareness of emerging technologies and proactively identify where advances in AI, cloud, automation, and software engineering can create meaningful business value
Mentor and coach software engineers through architecture discussions, design and code reviews, pairing, knowledge sharing, and technical leadership
Collaborate with engineering and product leadership to unblock teams, resolve complex technical problems, and successfully deliver high-quality software
Work across organizational boundaries to reduce duplication, strengthen shared platform capabilities, and help evolve a cohesive Global Forwarding technology ecosystem
Other duties or responsibilities as assigned according to the team and/or country-specific requirements
Required Qualifications:
8+ years of experience developing and implementing commercial software
Strong experience designing and developing applications in an object-oriented environment (ex. C#, .NET)
Experience designing distributed systems, APIs, services, and integrations across multiple applications or domains
Experience with database design and development using relational databases (ex. MS SQL, Oracle), including schema design, stored procedures, performance tuning, and optimization
Experience with non-relational databases and modern data-storage patterns
Experience with HTTP, REST APIs, event-driven architectures, and asynchronous processing
Experience with unit, integration, acceptance, and automated testing strategies
Experience with version control systems (ex. Git, GitHub, TFS, etc.)
Experience with CI/CD and modern software delivery practices
Demonstrated ability to solve complex technical problems that span multiple systems, teams, or business domains
Ability to quickly understand complex business processes and translate them into scalable, maintainable technical solutions
Demonstrated ability to provide technical leadership and influence architecture without relying solely on formal authority
Strong communication skills with the ability to explain complex technical concepts to engineering, product, business, and operational stakeholders
Bachelor’s degree from an accredited college or university in Computer Science, Software Engineering, IS, MIS, or other technology degree or minimum 6 years of equivalent work experience and high school diploma/GED
Preferred Qualifications:
Experience applying generative AI, large language models, or agentic technologies to production business workflows
Experience building AI-powered applications using capabilities such as tool/function calling, structured outputs, retrieval-augmented generation, prompt orchestration, multi-step agents, or workflow-based AI systems
Experience developing evaluation frameworks for AI systems, including quality measurement, regression testing, hallucination detection, grounding, and human-in-the-loop review
Experience with AI observability, governance, security, privacy, and responsible deployment patterns in an enterprise environment
Experience using AI coding assistants and agentic software-development tools to accelerate engineering productivity while maintaining software quality
Experience automating workflows involving unstructured documents, email, natural-language requests, operational exceptions, or complex decision-making
Experience with transportation, logistics, freight forwarding, supply chain, or similarly complex operational systems
Experience with pricing, rating, carrier contracts, order management, shipment execution, booking, tracking, planning, or related logistics capabilities
Experience building cloud-native applications and services (ex. Azure, AWS, GCP)
Experience with data streaming and messaging technologies (ex. Kafka, RabbitMQ, Azure Service Bus, event streaming platforms)
Experience integrating with external partners