Lead Solution Architect

KBX Logistics; Green Bay (WI); On-site; USD 140,000 - 190,000; Full time

Benefits offered by this job

Medical

Dental

Vision

FSA/HSA

Life insurance

Disability

Retirement

Paid time off

Education help

Infertility help

Parental leave

Adoption assistance

Job summary

KBX Logistics is seeking a Lead Solution Architect (Data & AI) to guide the Enterprise Data Platform (EDP) architecture in AWS, evolving it into an AI-enabled data platform. This hands-on role leverages deep AWS expertise and shapes long-term AI strategy while delivering scalable data capabilities.

The team focuses on trusted data, analytics, governance, and modern platform services, mentoring engineers and driving architecture reviews to scale across initiatives.

Qualifications

• Experience evaluating, designing, maintaining, or implementing AI/GenAI capabilities within enterprise data environments.
• Experience designing solutions using AWS technologies (Glue, S3, Redshift, Lambda, Step Functions, IAM).
• Exposure to GenAI/LLM patterns over enterprise data.
• Fundamentals of RBAC, data lineage, DR/HA, modular design, cost optimization.

Responsibilities

• Design and evolve the architecture of the Enterprise Data Platform, including integration patterns, governance controls, and platform capabilities for analytics, automation, AI, and agent-based use cases.
• Lead solution architecture and hands-on delivery of scalable data platform capabilities, including self-service access patterns, APIs, data products, metadata services, and AI-enabled experiences.
• Translate business, data, and AI opportunities into production-ready architecture patterns balancing scalability, security, maintainability, and speed to value.
• Build foundational platform capabilities including metadata management, semantic models, orchestration frameworks, secure access patterns, observability, and governance services for analytics, automation, and AI workloads.
• Serve as hands-on architectural lead for the AWS-native platform, owning design decisions and contributing to implementation.
• Continuously modernize data pipelines to reduce redundancy, control costs, and improve reliability and observability.
• Codify reusable architecture patterns (Terraform) and mentor data engineers to scale patterns across initiatives.
• Serve as the solution architecture contributor in architecture review processes

Skills

AI/GenAI capabilities

AWS solutions

RBAC

Data lineage

Cost optimization

Architecture influence

Tools

Terraform

Job description

Your Job

KBX Logistics is looking for a Lead Solution Architect (Data & AI) to lead solution architecture for our Enterprise Data Platform (EDP) and help evolve it into an AI-enabled data platform. This is a hands‑on role for someone who brings deep AWS solution architecture expertise and can evaluate, design, and implement AI capabilities that improve how users interact with enterprise data.

You’ll bring deep AWS solution architecture expertise and a builder’s mindset, with the ability to evaluate, architect, and deliver emerging AI capabilities over enterprise data. Prior hands‑on AI implementation experience is valuable, but we recognize that AI technologies continue to evolve rapidly and are looking for someone who can help shape KBX long‑term AI architecture strategy while growing with the space.

Our Team

The KBX DataOps team builds and supports enterprise data capabilities housed in AWS that help business teams access trusted data, improve decision‑making, and scale analytics. We partner across business, technology, governance, cloud, and security teams to deliver reliable data products and modern platform capabilities.

What You Will Do

• Design and evolve the architecture of the Enterprise Data Platform, including the integration patterns, governance controls, and platform capabilities required to support analytics, automation, AI, and agent‑based use cases.
• Lead solution architecture and hands‑on delivery of scalable data platform capabilities, including self‑service access patterns, APIs, data products, metadata services, and AI‑enabled experiences.
• Translate business, data, and AI opportunities into production‑ready architecture patterns that balance scalability, security, maintainability, and speed to value.
• Build foundational platform capabilities including metadata management, semantic models, orchestration frameworks, secure access patterns, observability, and governance services that enable analytics, automation, and AI workloads.
• Serve as the hands‑on architectural lead for the team’s AWS‑native platform architecture, owning design decisions and directly contributing to implementation
• Continuously modernize data pipelines to reduce redundancy, control cost, and improve reliability and observability.
• Codify reusable architecture patterns (Terraform) and mentor data engineers to scale successful patterns across initiatives/projects.
• Serve as the solution architecture contributor in architecture review processes

Who You Are (Basic Qualifications)

• Experience evaluating, designing, maintaining, or implementing AI/GenAI capabilities within enterprise data and technology environments.
• Experience designing solutions using AWS technologies such as Glue, S3, Redshift, Lambda, Step Functions, and IAM roles and policies.
• Exposure to applying GenAI/LLM patterns over enterprise data
• Experience applying the following fundamentals as a solution architect: RBAC, data lineage, DR/HA, modular design, cost optimization.
• Experience influencing architecture and architectural strategy across the organization at various levels

What Will Put You Ahead

• Experience implementing Model Context Protocol (MCP) or comparable AI‑to‑data integration patterns.
• Experience building enterprise AI solutions using LLMs, copilots, agents, or retrieval‑based architectures.
• Experience designing AI infrastructure on AWS or other cloud platforms.
• Experience developing AI governance, security, and operating patterns.
• Experience building semantic, metadata, or orchestration layers that enable AI‑based data access.
• Experience evaluating emerging AI technologies and translating them into scalable enterprise architecture patterns.
• Experience designing layered data architectures across cloud platforms, including immutable raw‑data retention, standardized transformation layers, and curated analytics or semantic‑serving layers.
• Experience partnering with IT Security teams on IAM and secure data access pattern initiatives
• Experience mentoring data engineers and establishing reusable architecture standards/patterns that scale across teams

Hiring Philosophy

All Koch companies value diversity of thought, perspectives, aptitudes, experiences, and backgrounds. We are Military Ready and Second Chance employers. Learn more about our hiring philosophy here .

Who We Are

KBX Logistics, a Koch company and global leader in transportation, offers world‑class, technology‑driven capabilities across all modes of managed freight and transportation asset management. KBX is uniquely positioned to meet the challenges shippers face, leveraging decades of firsthand experience and data‑driven insights from a large, diverse, and global business network. By building mutually beneficial partnerships and innovative technology, KBX creates a competitive advantage for its customers and meets the growing need for cost effective and reliable supply chain solutions. For more information on KBX, visit www.kbx.com

Our Benefits

• medical
• dental
• vision
• flexible spending and health savings accounts
• life insurance
• ADD
• disability
• retirement
• paid vacation/time off
• educational assistance
• infertility assistance
• paid parental leave
• adoption assistance

Specific eligibility criteria is set by the applicable Summary Plan Description, policy or guideline and benefits may vary by geographic region.

Equal Opportunities

Equal Opportunity Employer, including disability and protected veteran status. Except where prohibited by state law, some offers of employment are conditioned upon successfully passing a drug test. This employer uses E‑Verify.