Principal AI Platform & Solutions Architect

Your Job

KBX Logistics is looking for a Principal AI Platform and Solutions Architect to lead the transformation of our Enterprise Data Platform (EDP) from a traditional reporting platform into an AI-enabled data platform. This is a hands‑on, execution‑focused role for someone who can design solution architecture and build production capabilities – starting with a governed MCP Server over our data platform and an AI‑enabled, self‑serve chat experience for the business.

You’ll bring deep AWS solution architecture expertise, a builder’s mindset, and growing fluency in applying GenAI over enterprise data, while partnering closely with our data governance, cloud platform, and security teams to deliver secure, scalable, and reusable AI/data architecture.

The KBX Data Ops 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.

• Design and build a governed AI‑to‑data integration pattern (e.g., Skills, Agents, MCP Server) over the Enterprise Data Platform that lets approved AI agents and copilots securely query and act on enterprise data, replacing one‑off integrations built per use case.
• Lead solution architecture and hands‑on delivery of AI‑enabled, self‑service data experiences that allow users to interact with enterprise data through natural language.
• Translate AI and GenAI opportunities into production‑ready architecture with clear implementation patterns and governance controls while prioritizing high‑value, low‑effort wins first.
• Build the foundational architecture capabilities, including metadata layers, governed semantic models, orchestration workflows, and secure access patterns that support LLM and agent‑based use cases.
• Partner with AI capabilities across the organization to reuse existing patterns.
• Serve as the hands‑on technical 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 and mentor data engineers to scale successful patterns across initiatives.
• Serve as the solution architecture contributor in architecture review processes.

• Experience delivering reliable, scalable, and cost‑effective production data platforms in a data engineering, solution architecture, or platform engineering capacity.
• Experience designing solutions using AWS technologies such as Glue, S3, Redshift, Lambda, Step Functions, IAM roles, and policies.
• Experience applying GenAI/LLM patterns over enterprise data.
• Experience applying fundamentals such as RBAC, data lineage, DR/HA, modular design, and cost optimization as a solution architect.
• Experience influencing architecture and architectural strategy across the organization at various levels.

• Experience implementing the Model Context Protocol (MCP) or comparable patterns for governed AI‑to‑data integrations.
• Experience with modern data lakehouse architecture patterns.
• 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.

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. Please  for additional information. (For Illinois E‑Verify information , aqui, or tu).