Senior Software Engineer - Global Forwarding Technology

C.H. Robinson is seeking a Senior Software Engineer to support its Global Forwarding team’s modernization and automation initiatives. The role designs scalable software and AI-enabled solutions for freight planning, pricing, booking, execution, and related workflows, while providing technical leadership, improving engineering processes, and mentoring engineers.

Responsibilities:

• 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 escalate 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

Requirements:

• 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
• 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 through APIs, EDI, messaging, or event-driven architectures
• Experience modernizing legacy systems and incrementally moving complex business capabilities toward modern architectures
• Experience designing highly automated, high-volume transactional workflows where human intervention is reserved primarily for exceptions
• Experience with decision engines, optimization, rules systems, or intelligent workflow orchestration
• Proven track record of delivering results in a fast-paced environment while navigating ambiguity and multiple priorities
• Demonstrated curiosity and willingness to experiment with emerging technologies while maintaining sound engineering discipline
• Strong customer focus and ability to connect technical investments to measurable business outcomes
• A learning and growth mindset that is open to giving and receiving feedback
• Values a diverse and inclusive work environment