Staff AI Data Platform Engineer
Core
Design and build the secure data platform and AI infrastructure (MCPs, API gateways, RAG pipelines, vector databases) that powers investment management decisions.
Role type
Staff AI Data Platform Engineer
Builds
Secure integrations, Model Context Protocols (MCPs), API gateways, RAG pipelines, and vector database implementations
Domain
Investment management, AI infrastructure, distributed systems
Deliverable
production ML models | infrastructure
Required skills
Distributed systems architecture, secure API integration design, AI platform engineering, cloud infrastructure (AWS), infrastructure-as-code (Terraform), Python, data lineage and access control, modern data platforms (Snowflake, vector DBs)
Preferred skills
RAG pipelines, LLMs, model provider gateways, local/open-source model routing, mentoring engineers
Technologies
AWS, Terraform, Python, Snowflake, Pinecone, Weaviate, pgvector, OAuth 2.0, SSO, MCPs
Responsibilities
Design and ship secure MCPs and API integrations connecting data sources to business capabilities; contribute to model provider gateways and RAG pipelines; help define the team's data and AI strategy; mentor peers and set technical standards
Seniority
Staff, hands-on IC with strategy influence
