AISolutionsArchitect

## Accountabilities Own end-to-end data modeling, AI architecture, and integration design across enterprise partner engagements. Serve as the senior technical authority from pre-sales through delivery, ensuring architectural feasibility and integrity. Design and implement integration patterns across enterprise systems such as ERP, POS, CRM, Snowflake, and proprietary APIs. Map and reconcile partner data structures with platform ontologies to enable scalable AI-driven solutions. Prototype, code, and validate technical solutions in real time alongside partner engineering teams. Act as a bridge between customer requirements and internal product/R&D teams, influencing platform evolution where needed. Review technical designs and unblock delivery teams to ensure consistent architectural standards across engagements. Define reusable frameworks, templates, and integration patterns to scale delivery across multiple clients. Ensure governance, security, and performance considerations are embedded in all architectural decisions. Requirements 10+ years of experience in solutions architecture, data engineering, or senior software engineering roles. Strong expertise in enterprise-scale data architecture, modeling, and system design in complex environments. Hands-on coding ability with the capacity to build, prototype, and troubleshoot production-grade systems. Proven experience designing integrations across enterprise platforms such as ERP, POS, Snowflake, CRM, and APIs. Deep systems thinking with the ability to manage both high-level architecture and detailed implementation work. Experience presenting technical solutions to both engineering teams and executive stakeholders. Ability to operate effectively in ambiguous, greenfield environments and define architecture from first principles. Familiarity with AI/ML concepts and how data structure impacts intelligence layer performance. Experience in retail tech, e-commerce infrastructure, or high-growth enterprise environments is a