Principal Data Scientist, SIP
Core
Design, build, and validate agentic AI systems using frameworks like LangGraph and AgentCore to solve complex financial challenges and improve firm efficiency.
Role type
Principal Data Scientist (Agentic AI & Generative AI)
Builds
Multi-agent workflows, evaluation frameworks, and production-ready AI solutions for investment strategies.
Domain
Financial Services / Generative AI / Agentic Systems
Deliverable
production ML models
Required skills
Python, Natural Language Processing (NLP), Generative AI, LangGraph, LangChain, AgentCore, Docker, CI/CD, DevSecOps, Prompt Engineering, Fine-tuning, Multi-agent systems, RAG evaluation, Stress testing
Preferred skills
Experience with Copilot Studio, Strands, GitHub Copilot, Cursor
Technologies
LangGraph, LangChain, AgentCore, Copilot Studio, Cortex, GitHub Copilot, Claude Code, Docker
Responsibilities
Design and implement complex reasoning loops to transform static LLMs into dynamic, goal-oriented agents; Develop robust evaluation frameworks and gold-standard datasets for generative outputs; Scale AI initiatives by creating reusable patterns, prompt templates, and agentic harnesses; Integrate AI models into business workflows using AI-assisted coding; Implement systematic testing (RAG evaluation, stress testing) to ensure compliance and reliability; Collaborate with software engineers and investment professionals to build AI-based tools.
Seniority
Principal, hands-on IC with strategic leadership