Principal, AI Engineer
Core
Lead design and implementation of secure, scalable, and compliant generative AI systems and data pipelines for a highly regulated financial environment.
Role type
Principal, AI Engineer (Data Integration & GenAI)
Builds
Production-grade LLM applications, enterprise AI frameworks, and data pipelines for asset management and banking use cases.
Domain
Financial Services / Banking / Generative AI
Deliverable
production ML models | product features | infrastructure
Required skills
Python, SQL, PostgreSQL, PGVector, RAG, Agentic AI, MCP, REST APIs, Cloud platforms (Azure/AWS/GCP), Data pipeline engineering, Vendor negotiation, Regulatory compliance
Preferred skills
Financial data providers (Bloomberg, Refinitiv), .NET/C#, React, Java, Unix/BASH, Vector databases (Pinecone, Neo4j)
Technologies
Azure AI Foundry, Anthropic (Claude), OpenAI (GPT), Pyspark, Snowflake, Data Bricks, Aladdin, Eagle, iCapital
Responsibilities
Lead development of client-facing AI capabilities and integration methods; Architect and implement data pipelines for structured and unstructured data; Drive semantic architecture and enterprise context engineering; Provide leadership and mentoring to technical delivery teams; Ensure regulatory compliance and data governance for AI assets.
Seniority
Principal, hands-on IC with strategic leadership