Chief AI Architect
Core
Define and evolve AI architecture for advice delivery, client experiences, and operational efficiency in wealth management, ensuring generative AI is applied practically and responsibly.
Role type
Principal AI Architect (Strategy & Architecture)
Builds
Enterprise AI reference architecture, reusable patterns, and platforms for generative AI and agent-based applications.
Domain
Financial Services / Generative AI / Agentic Systems
Deliverable
production ML models | infrastructure
Required skills
Agentic application architecture, model selection and fine-tuning, prompt engineering, agentic loop design, context management, memory management, MCP (Model Context Protocol), tool calling, AI lifecycle management, responsible AI governance, cloud-native patterns, RAG, orchestration layers, evaluation frameworks.
Preferred skills
Experience moving AI solutions from concept to production, influencing senior leadership on strategy and investment, coaching senior engineers.
Technologies
MCP, A2A, RAG, cloud-native platforms
Responsibilities
Define AI architecture roadmap, establish architecture patterns for generative AI applications, influence enterprise guardrails for responsible AI, partner with data architecture for AI-ready foundations, guide build vs. buy decisions, research emerging AI technologies, mentor architects and engineers.
Seniority
Principal, strategy & mentorship