AISolutionsArchitect

## Accountabilities Own end-to-end AI architecture, data modeling, integration design, and governance across enterprise partner engagements. Serve as the senior technical authority from pre-sales through delivery, ensuring feasibility and architectural integrity. Design and implement integration patterns between AI platforms and enterprise systems such as POS, ERP, CRM, Snowflake, and proprietary APIs. Map and reconcile partner data models with internal ontologies to enable scalable AI-driven solutions. Prototype and code alongside partner engineering teams to validate solutions in real time. Bridge partner requirements with internal R&D, APIs, and platform capabilities, identifying gaps and improvement opportunities. Review technical designs and support delivery teams in maintaining architectural standards and execution quality. Define reusable frameworks, patterns, and reference architectures to scale deployments across multiple engagements. Ensure security, governance, and performance best practices are embedded across all solutions. Requirements 10+ years of experience in solutions architecture, data engineering, or senior software engineering roles. Strong expertise in designing enterprise-scale data systems and integration architectures in complex environments. Hands-on coding ability with experience building and prototyping production-grade systems. Proven experience integrating enterprise platforms such as ERP, POS, CRM, Snowflake, and APIs. Deep systems thinking with the ability to manage both high-level architecture and detailed implementation. Experience presenting technical solutions to both executive and engineering audiences. Ability to operate in ambiguous, greenfield environments and define architecture from first principles. Familiarity with AI/ML concepts and how data quality impacts model and intelligence performance. Experience in retail tech, e-commerce infrastructure, or enterprise systems integration is a strong plus. Benefits Competitive comp