Senior AI/ML Engineer — Lead LLM & Production Solutions

JPMorgan Chase; Jersey City (NJ); On-site; USD 130,000 - 180,000; Full time

Job summary

JPMorgan Chase is hiring an AI Engineering Senior Associate to lead hands-on development of AI/ML solutions for Asset and Wealth Management. You will build scalable data pipelines, deploy inference services, and ship production-ready models in AWS or Azure.

The role emphasizes architecture, collaboration with global teams, and delivering high-impact business outcomes for Private Bank clients. A strong foundation in ML, Python, and data processing is required.

Qualifications

• MS in Computer Science, Statistics, Mathematics, or Machine Learning
• 3+ years of development experience, with at least 2 years on AI solutions
• Strong Python programming skills and knowledge of data structures/algorithms

Responsibilities

• Collaborate with firmwide AI/ML teams, Business and Product Partners, and dispersed teams to drive alignment and adoption of AI capabilities
• Hands-on architecture and implementation of lighthouse ML and LLM-powered solutions
• Design and implement scalable data processing pipelines and deploy model inference services
• Experiment, develop, and productionize high-quality ML models and platforms
• Deploy solutions into public cloud infrastructure

Skills

Python programming

Data structures

Algorithms

Machine Learning

Data mining

Information retrieval

Statistics

LLM usage

End-to-end design

Leadership

Education

MS in Computer Science

MS in Statistics or Mathematics or ML

Tools

OpenAI LLMs

AWS / Azure

Postgres / OpenSearch / Redis

Next.js / Svelte

Job description

JPMorgan Chase is hiring an AI Engineering Senior Associate to lead hands-on development of AI/ML solutions for Asset and Wealth Management. You will build scalable data pipelines, deploy inference services, and ship production-ready models in AWS or Azure.

The role emphasizes architecture, collaboration with global teams, and delivering high-impact business outcomes for Private Bank clients. A strong foundation in ML, Python, and data processing is required.