To be successful, the candidate must be a hands-on engineer with strong experience in LLMs, AI orchestration, and distributed systems , capable of translating emerging AI patterns (e.g., RAG, agent frameworks, MCP integration) into secure, scalable enterprise solutions. This individual will design, build, and scale production-grade AI systems, including copilots, agentic workflows, and automation services embedded directly into investment management processes.