Owns end-to-end architecture and hands-on implementation for an AI-driven investment platform. Designs production-grade LLM and RAG systems, data and integration architectures, security standards, and Azure cloud infrastructure. Builds prototypes and production code in Python and TypeScript, reviews designs, establishes reusable patterns, leads technology evaluations, and mentors engineering teams. The role partners with investment, risk, finance, and senior technology stakeholders to deliver scalable, secure, compliant, and cost-effective solutions.

Build and deploy AI-powered products for investment, portfolio, risk, finance, and legal teams. Own full-stack production solutions spanning data ingestion, APIs, AI orchestration, frontend interfaces, cloud infrastructure, security, governance, observability, and operations. Develop RAG, agentic workflows, document intelligence, and AI-generated analytics while working directly with senior stakeholders. Rapidly prototype solutions, iterate using user feedback, champion engineering quality and responsible AI practices, and mentor other engineers.

Implement, configure and debug web and mobile tracking and MarTech systems (Tealium, GA4, MMPs). Ensure data quality, privacy/compliance, QA and documentation while partnering with MarTech, CRM and Product teams.