Principal AI Platform & Solutions Architect

About the role

The PrincipalAI Platform and Solutions Architect will lead the transformation of KBX Logistics' Enterprise Data Platform (EDP) from a traditional reporting platform into an AI-enabled data platform. This role requires hands-on design and delivery of AI-enabled, self-service data experiences, as well as the foundational architecture capabilities needed to support Large Language Models (LLMs) and agent-based use cases.

Responsibilities

• Design and build governed AI-to-data integration patterns (such as Skills, Agents, and MCP Server) over the Enterprise Data Platform to securely query and act on enterprise data, replacing one-off integrations.
• Lead solution architecture and hands-on delivery of AI-enabled, self-service data experiences allowing 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, prioritizing high-value, low-effort wins first.
• Build 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.
• Act 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 costs, 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 in a data engineering, solution architecture, or platform engineering capacity.
• 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.
• Experience mentoring data engineers and establishing reusable architecture standards/patterns that scale across teams.

Skills

• Deep AWS solution architecture expertise.
• A builder's mindset.
• Growing fluency in applying GenAI over enterprise data.

Benefits

• Medical
• Dental
• Vision
• Flexible Spending and Health Savings Accounts
• Life Insurance
• Disability
• Retail Retirement
• Paid Vacation/Time Off
• Education Assistance
• Infertility Assistance
• Paid Parental Leave
• Adoption Assistance