The AI Solutions Engineer is the primary builder, architect, and technical steward of the organization's internal AI capabilities. This role is responsible for the design, development, and operationalization of robust, scalable AI-powered tools and integrations that solve specific business problems. Their mission is to translate high-level business needs and identified opportunities into tangible, working technology. The primary objective is to build and maintain the technical infrastructure that enables the organization's AI adoption strategy. Key Responsibilities: This role is responsible for the full technical lifecycle of AI-driven solutions, from initial prototype to production deployment and maintenance. Platform Assessment & Implementation · Leverage first, build second: Prioritize the use of AI capabilities already available within FINN Partners' tech stack to automate workflows and boost productivity. · Assess, evaluate, and implement a standard agentic AI platform to serve as the foundational technology for enterprise-wide solutions, ensuring our internal AI stack remains modern, efficient, and aligned with industry best practices. Internal Tool Development & Prototyping · Design, build and maintain supplementary internal tools, integrations and micro‑services when native capabilities do not fully address identified pain‑points or scalability requirements. · Rapidly prototype lightweight AI‑enabled utilities, validate business value, and promote successful pilots into robust production services. · Oversee architectural and technology choices made by AI systems by reviewing model selection, libraries and frameworks, and debug complex multi‑service environments when needed. System Architecture & Technical Oversight · Oversee architectural and technology choices for all internal AI systems by reviewing model selection, libraries, and frameworks. · The Solutions Engineer is also responsible for debugging multi-service environments when needed. Hands-On Prompt Engineering & Solutioning · Provide expert guidance on crafting effective prompts and interaction patterns for generative models (Gemini, ChatGPT, Claude, etc.). · Assist teams with data preparation, fine‑tuning and evaluation to maximize solution accuracy, safety and reliability.