Director, Data Architecture/Engineering
Core
Designing, building, and scaling multi-agent AI workflows and data infrastructure to support applied AI capabilities in Private Markets.
Role type
Director, Applied AI Architecture & Engineering
Builds
Scalable multi-agent AI systems, data pipelines, and platform services for Private Markets.
Domain
Financial Services / Private Markets / Generative AI
Deliverable
production ML models | product features | infrastructure
Required skills
Python, agentic orchestration (LangGraph), NLP (tokenization, embeddings, semantic search), RAG architectures, vector databases, Transformer fine-tuning, CI/CD, observability, team leadership, strategic planning
Preferred skills
Financial services/asset management domain knowledge, private markets investment lifecycle understanding, open-source LLM ecosystem expertise
Technologies
LangGraph, PyTorch, TensorFlow, NetworkX, Enterprise container orchestration platforms
Responsibilities
Define technical strategy and roadmap for applied AI; lead architecture and scaling of multi-agent workflows; drive end-to-end lifecycle of AI applications from PoC to production; integrate LLM capabilities into core products; establish evaluation frameworks for agent behavior and system performance; enforce engineering best practices and responsible AI governance; partner with stakeholders to prioritize use cases; build and mentor high-performing engineering teams; develop reusable platform capabilities.
Seniority
Director, strategic leadership with hands-on execution