Hiring: Vice President - Data Scientist Lead (LLM/GenAI) Company: JPMorganChase Location: Chicago, IL Job Posted Time: 2026-09-03 14:45:36 Employment Type: On-site Target Skills & Keywords : AI, AWS, CPT, Data Pipeline, Deep Learning, Fine-tuning, Git, LLM, Large Language Model, Machine Learning, Model Registry, NLP, NumPy, Pandas, PyTorch, Python, Stakeholder Management, TensorFlow, scikit-learn About the job Experience: •5+ years of applied experience building machine learning or natural language processing solutions, including production deployment in a fast-paced environment •200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. •Over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. Required Skills: •Develop and deliver generative artificial intelligence and large language model solutions for content extraction, semantic search, question answering, summarization, reasoning, and recommendation use cases •Design, deploy, and manage prompt-based and retrieval-augmented generation systems, including orchestration patterns and agentic workflows such as tool use, structured outputs, and multi-step reasoning •Build evaluation and testing frameworks to measure accuracy, faithfulness, robustness, latency, and cost, including red-teaming and safety checks where applicable •Leverage Amazon Bedrock to prototype and productionize large language model applications, including model selection, prompt templates, routing, and deployment patterns •Work hands-on with Cortex, including Cortex Analyst, to enable governed analytics experiences and generative artificial intelligence-assisted workflows •Partner cross-functionally with engineering teams to deliver scalable services, including application programming interfaces, batch jobs, and pipelines, while ensuring strong software engineering discipline and operational readiness •Build and maintain data pipelines for structured and unstructured data, enabling retrieval, indexing, and preprocessing for large language model applications •Conduct applied research by studying scientific articles and current techniques in prompting, fine-tuning, evaluation, and agent design, then translating them into practical improvements Qualifications: •Advances degree in Data Science, Computer Science, Machine Learning, Statistics, or a related quantitative field, or equivalent practical experience Compensation: •$128,250 - $200,000 / year Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!