AI Engineer, Analyst – Data Analytics & AI
Core
Accelerate AI adoption by embedding with business units to translate workflow friction into self-service AI solutions and production software.
Role type
Mid-level AI Engineer (Applied AI & Data Analytics)
Builds
Production software solutions, agentic workflows, retrieval pipelines, and self-service prompt libraries for asset management.
Domain
Alternative Asset Management (Private Equity, Real Estate, Private Wealth)
Deliverable
production ML models | product features
Required skills
Python, SQL, LLMs, prompt engineering, agentic workflows, retrieval, model evaluation, CI/CD, containerization, cloud deployment
Preferred skills
Experience in financial firms, alternative asset management, private wealth, or fund distribution
Technologies
Python, SQL, Git, Docker, Terraform
Responsibilities
Embed with business units to shadow live workflows and develop functional fluency; Translate workflow friction into a pipeline of self-service quick wins and platform initiatives; Develop and maintain production software solutions; Build and extend applied AI solutions including agentic workflows and retrieval pipelines; Promote a culture of data analytics and AI through training sessions; Lead projects to transition proofs of concept into production deployments.
Seniority
Mid-level, hands-on IC
