Director Solutions Design, Cloud Operations

Kuehne & Nagel Logistics, Inc. • Dallas, TX

42d • Remote

About The Position

Step into a leadership role where you'll shape the future of enterprise AI. As the Director of AI Platform Solutions Architecture, you'll design and deliver cutting-edge Artifical Intelligence (AI) and Machine Learning (ML) platforms that power innovation across hybrid and multi-cloud environments. This is your opportunity to join Kuehne+Nagel and be a in leader at the forefront of technology-building platforms that enable smarter decisions, faster insights, and operational excellence. In this role, you will analyze Requests for Proposals (RFPs), develop client-tailored solutions for data center logistics, and present for approval to business unit executives and clients. The right candidate will have a continuous improvement mindset and a tendency towards 5S in the workplace. You will travel domestically 25% of the time, and occasionally internationally, to perform customer site surveys to develop value propositions and solutions.

Requirements

• Bachelor's or master's degree in computer science, Engineering, Data Science, or a related field (PhD preferred).
• 10-15 years of experience in cloud architecture, Artifical Intelligence and Machine Learning (AI/ML) engineering, or enterprise IT leadership.
• 4+ years of related experience working in a 3PL (Third-party Logistics) distribution environment
• Comprhensive understanding of cloud platforms and data center logistics
• Strong understanding of security, compliance, and governance in AI and data systems.
• Ability to travel an average of 75% of the time as needed, both domestically and internationally

Responsibilities

• Partner with product, data, and IT leaders to identify and prioritize AI use cases that deliver value
• Architect end-to-end Artificial Intelligence and Machine Learning (AI and ML) solutions across hybrid and multi-cloud environments (AWS, Azure, Google Cloud).
• Design scalable data pipelines, model training environments, and inference infrastructure optimized for performance and cost
• Oversee the implementation of AI infrastructure, including Graphics Processing Units (GPU) clusters, containerized workloads, and orchestration tools such as Kubernetes.
• Collaborate with IT Operations to ensure system resilience, observability, and reliability across environments.
• Build, mentor, and lead cross-functional teams of cloud engineers, Machine Learning Operations (MLOps) specialists, and AI architects.
• Partner with external vendors, cloud providers, and technology partners to expand AI platform capabilities.
• Analyze customer RFPs, RFQs (Request for Quote), and RFIs (Request for Information) to identify solution requirements and requirements for solutions development
• Accurately design inputs for the overall solution model
• Clarify and resolve complex business issues by breaking them down into meaningful components, determine root causes, and redesign internal and external business processes

Benefits

• We offer a great compensation and medical/dental benefits package, employee discounts, tuition reimbursement, excellent training programs, and a fun, and interesting global work environment.

What This Job Offers

• Job Type: Full-time
• Career Level: Director
• Industry: Support Activities for Transportation
• Number of Employees: 5,001-10,000 employees