Teams at Diversify

Design and operate an AI-enabled software delivery model using agent pods for design, coding, QA, and UAT. Define human oversight, quality gates, security reviews, traceability, and tooling that connects agents to repositories and test environments. Track AI and wealth-management developments, measure delivery outcomes, align platform standards, and train engineers and business partners. Requires strong software engineering, AI orchestration, Python and JavaScript/TypeScript expertise, lifecycle knowledge, and experience leading change.

Own the firm’s AI roadmap and deliver practical AI tools, copilots, agents, automations, and knowledge assistants. Identify high-value opportunities, prototype solutions, improve workflows, measure adoption and productivity gains, and steward the advisor-facing AI platform. Track AI and wealth-management developments, guide adoption, train users, communicate outcomes to leadership, and support cloud integrations, access management, and basic security in a regulated environment.

Leads AI ecosystem architecture and integration across data, platforms, and workflows. Maps systems and data flows, resolves integration and data-quality gaps, establishes security and governance standards, and ensures advisor platforms support secure AI access. Evaluates emerging AI capabilities, build-buy-partner options, and regulatory considerations while advising leadership on priorities and tradeoffs. The role combines strategic architecture with hands-on integration work and requires strong Python, JavaScript, TypeScript, data architecture, API, cloud, LLM, and agent experience.