Director, Agentic AI, Data Science Lead, AI Labs
Core
End-to-end ownership of flagship AI Labs initiatives, translating ambiguous problems into scoped programs, and delivering production-grade agentic AI solutions at scale.
Role type
Director, Data Science Lead (Agentic AI)
Builds
Production-grade AI agents, agentic workflows, and intelligent systems for asset management.
Domain
Financial Services / Asset Management / Generative AI
Deliverable
production ML models | product features
Required skills
End-to-end technical initiative leadership, AI/ML system architecture, team management and mentorship, Python programming, agentic workflow design, performance assessment of ML methods, statistical modeling, optimization techniques.
Preferred skills
LLM reasoning, reinforcement learning, open-source agent frameworks (LangGraph, Pydantic AI, OpenAI Agents SDK), retrieval systems (RAG, vector databases), financial data analysis, technical standards definition.
Technologies
Python, PyTorch, Tensorflow, AWS, Azure, GCP, LangGraph, Pydantic AI, OpenAI Agents SDK, Amazon Bedrock, Microsoft Agent Framework, Claude Agent SDK, Model Context Protocol (MCP), vector databases.
Responsibilities
Own flagship AI Labs initiatives from scoping to production deployment; Partner with stakeholders to define priorities and success criteria; Lead design and evaluation of AI agents and agentic workflows; Partner with engineering to ensure production-grade compliance and observability; Manage and mentor AI scientists; Communicate technical outcomes to senior leaders.
Seniority
Director, hands-on IC with management responsibilities