Principal AI Platform & Solutions Architect

About the role

The PrincipalAI Platform and Solutions Architect will lead the transformation of KBX’s Enterprise Data Platform (EDP) from a traditional reporting platform to an AI-enabled data platform. This role involves designing and building solution architecture, leading the development of AI-enabled, self-service data experiences, and working closely with data governance, cloud platform, and security teams.

Responsibilities

• Design and build governed AI-to-data integration patterns (such as Skills, Agents, and MCP Server) over the Enterprise Data Platform to enable secure querying and acting on enterprise data.
• Lead the creation 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.
• Build foundational architecture capabilities including metadata layers, governed semantic models, orchestration workflows, and secure access patterns supporting 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 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 the following fundamentals as a solution architect: RBAC, data lineage, DR/HA, modular design, cost optimization.
• 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

Our benefits package includes medical, dental, vision, flexible spending and health savings accounts, life insurance, ADD, disability, retirement, paid vacation/time off, educational assistance, and may also include infertility assistance, paid parental leave, and adoption assistance. Specific eligibility criteria is set by the applicable Summary Plan Description, policy or guideline and benefits may vary by geographic region.