
Principal Solution Architect
GREEN BAY, WIJobSeen todaySeen in employer's feed today
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Job overview
KBX Logistics seeks a Principal Solution Architect to lead architecture and hands-on delivery for its AWS-based Enterprise Data Platform and help evolve it into an AI-enabled platform. The role shapes long-term AI architecture strategy, builds capabilities for analytics, automation, and AI workloads, and partners across business, technology, governance, cloud, and security teams. Prior hands-on AI implementation experience is described as valuable, not required.
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Full job description
JOB REQUIREMENTS: Your Job KBX Logistics is looking for a Principal 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's long-term AI architecture strategy while growing with the space. Our Team TheKBXDataOpsteam builds and supports enterprise data capabilitieshoused in AWSthat 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 anddirectlycontributing to implementation Continuously modernize data pipelines to reduce redundancy, control cost, and improve reliability and observability. Codify reusable architecture patterns (Terraform) and mentordataengineersto scale successful patterns across initiatives/projects. Serveasthesolution 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 IAMroles andpolicies. Exposure to applying GenAI/LLM patterns over enterprise data Experience... For full info follow application link. Equal Opportunity Employer, including disability and protected veteran status. ***** APPLICATION INSTRUCTIONS: Apply Online: ipc.us/t/D4F6171884694530
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