Director, AI Engineering & Agentic Platform
Core
Design, build, and operate production-grade AI platform services (LLMs, RAG, agentic workflows) to augment investment decision-making and improve operational efficiency for clients.
Role type
Director, AI Engineering & Agentic Platform
Builds
Shared AI platform services, APIs, and reusable frameworks for investment research, distribution, and operational functions.
Domain
Financial services / Investment management / AI Engineering
Deliverable
production ML models
Required skills
LLM-based application design, RAG system architecture, agentic workflow development, vector database management, LLMOps, MLOps, CI/CD for AI systems, model serving and inference optimization, data governance and security, team leadership, stakeholder management
Preferred skills
Azure AI services, Copilot Studio, investment management workflows, internal AI developer platforms, FinOps practices, knowledge graphs
Technologies
LLMs, RAG, vector databases, Snowflake, Databricks, microservices
Responsibilities
Design scalable AI architectures including LLM apps and agentic workflows; build operational AI delivery pipelines with monitoring and evaluation; establish governance and security controls for AI systems; lead and mentor AI/ML engineering teams; integrate AI capabilities with enterprise data platforms.
Seniority
Director, hands-on IC with leadership