GenAI Data Scientist Programmer

Amazon.com, Inc.
Jersey City, United States of America
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Intermediate
Compensation
$ 237K

Job location

Jersey City, United States of America

Tech stack

Java
Artificial Intelligence
Big Data
Hadoop
Hive
Python
Machine Learning
MongoDB
Neo4j
Redis
WebSocket
Enterprise Data Management
Large Language Models
Spark
Generative AI
FastAPI
Kubernetes
Information Technology
Data Analytics
Kafka
Slurm
REST
GPT

Job description

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

Requirements

  • 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.

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