Principal AI Platform & Solutions Architect

About the role

The Principal AI Platform and Solutions Architect will lead the transformation of KBX Logistics' Enterprise Data Platform (EDP) to an AI-enabled data platform. Key responsibilities include designing and building AI-to-data integration patterns, leading the development of AI-enabled self-service data experiences, and modernizing data pipelines.

Responsibilities

• Design and build a governed AI-to-data integration patterns (such as Skills, Agents, and MCP Server) over the Enterprise Data Platform
• Lead solution architecture and hands-on delivery of AI-enabled, self-service data experiences
• Build foundational architecture capabilities including metadata layers, governed semantic models, orchestration workflows, and secure access patterns
• Partner with AI capabilities across the organization to reuse existing patterns
• Own design decisions and contribute to implementation of the AWS-native platform architecture
• 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/projects
• Serve as the solution architecture contributor in architecture review processes

Requirements

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

Qualifications

• 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
• Mentoring data engineers and establishing reusable architecture standards/patterns that scale across teams