GenAI Data Scientist Programmer

As a valued member of our Home Lending Data & Analytics Applied AI/ML team, you will be at the forefront of our firm-wide initiatives to innovate and enhance Data & Analytics funct…

• 3 days ago

• 2+ years of hands-on experience delivering end-to-end GenAI / LLM-based solutions in enterprise environments
• Strong Python dev expertise with experience building REST APIs, FastAPI, and WebSocket-based applications
• Experience with Large LLM’s (GPT, LLaMA), Agentic frameworks (LangGraph), and orchestration frameworks such as MCP
• Hands-on experience with LangChain, LlamaIndex, embedding models, and RAG evaluation frameworks including RAGAS, LangSmith, and Phoenix/Arize
• Experience with Model Governance / Model Risk Management including model documentation, governance compliance, monitoring, and performance controls

Top 3-5 Skillsets / Experiences preferred (nice to haves)

• Java development experience
• Experience with enterprise data stores including Redis and MongoDB
• Experience with distributed/big data technologies including Spark, Kafka, Hadoop/Hive, Slurm, and Neo4j
• Experience with machine learning techniques, classifiers, and statistical modeling
• Advanced degree or equivalent experience in Data Science, Mathematics, Statistics, or another quantitative discipline

If so, what have been the struggles with finding this person

• Need strong combination of hands-on GenAI engineering plus governance/model risk experience
• Market is heavy with proof-of-concept AI profiles but lighter on candidates who have delivered enterprise-grade governed AI solutions
• Need candidates with both strong Python/backend engineering depth and modern LLM ecosystem experience, 1. 2+ years of professional experience executing end-to-end Generative AI projects using: Large Language Models (e.g., GPT, LLaMA) MCP (skills-based orchestration) Agentic frameworks (e.g., LangGraph) LLM development frameworks (LangChain, LlamaIndex) Embedding models (e.g., all-MiniLM-L6-v2, nomic-ai) Evaluation frameworks (RAGAS, LangSmith, Phoenix/Arize) REST APIs, FastAPI, WebSockets Enterprise data stores (Redis, MongoDB)

1. Strong Python programming expertise Java development is a significant plus

2. Model Governance & Risk Management Must have hands-on experience with Model Risk Management and Model Governance, including: Delivering GenAI solutions in compliance with governance guidelines Authoring formal model documentation Designing and implementing model monitoring and performance controls

3. Bachelor’s degree (or advanced degree) in a related IS/IT discipline, or equivalent professional experience
4. Typically, 10+ years of overall IT experience, including leadership on complex, enterprise initiatives
5. Leadership qualities, and should be able to effectively communicate difficult technical concepts. No previous banking experience is okay.