Principal Ai Data Strategy Consultant (relational Database, Api Layers)
Franklin Templeton
Hybrid
Vector databases for rag and llm
Api layers (graphql/rest) for data access
Production-grade data systems
Franklin Templeton is building next-generation AI capabilities to power Sales Assist —a platform designed to enhance and personalize sales and client engagement
Job Summary
Franklin Templeton is building next-generation AI capabilities to power Sales Assist —a platform designed to enhance and personalize sales and client engagement.
Own the end-to-end architecture, implementation, and operation of data platforms supporting AI use cases, including vector databases, blob storage, RDBMS, and API layers.
We provide employees with the tools, resources, and learning opportunities to help them excel in their career and personal life.
Matching Summary
Franklin Templeton is building next-generation AI capabilities to power Sales Assist —a platform designed to enhance and personalize sales and client engagement.
Skills & Requirements
Must-have
Vector databases for RAG and LLM
API layers (GraphQL/REST) for data access
Production-grade data systems
Data pipelines and distributed systems
Cloud platforms (AWS, Azure, GCP)
Nice-to-have
LLM applications and semantic search
Financial services background
MLOps and feature stores
Data observability tools
Key Requirements
10+ years of experience in data engineering or AI infrastructure
Proven experience building and operating production-grade data systems
Strong expertise in API design and implementation
Demonstrated experience leading and managing engineering teams