Applied AI/ML Lead: GenAI & Agentic Solutions

Testing Site - JPMC; Jersey City (NJ); On-site; USD 150,000 - 230,000; Full time

Job summary

Testing Site - JPMC is seeking an Applied AI/ML Lead to reshape Private Bank processes with Agentic AI, GenAI, and cloud-based solutions. You will lead analysis of large data, design autonomous AI agents, and drive end-to-end AI delivery across teams.

You will oversee prompt engineering, LLM orchestration, and data pipelines, collaborating with leadership to align strategy with business goals. The role emphasizes experimentation, collaboration, and scalable AI tooling.

Qualifications

• PhD or MS with substantial industry/research experience in quantitative field.
• Hands-on experience building Agentic AI solutions.
• Familiarity with LLM orchestration and agentic AI libraries.
• Strong Python (PyTorch or TensorFlow) and data pipeline development skills.
• Experience deploying AI/ML on cloud platforms (AWS/Azure).
• Ability to communicate complex results to leadership.

Responsibilities

• Lead development and implementation of GenAI and Agentic AI solutions using Python.
• Oversee prompt-based models and NLP tasks in financial services domain.
• Research and apply prompt engineering techniques for enhanced model performance.
• Collaborate with cross-functional teams to meet business needs.
• Communicate results effectively to technical and non-technical stakeholders.

Skills

Leadership

Python programming

Communication with leadership

Problem solving

Education

PhD in a quantitative discipline

MS with 7+ years industry experience

Tools

PyTorch

TensorFlow

AWS

Azure

Git

LLM orchestration libraries

Job description

Testing Site - JPMC is seeking an Applied AI/ML Lead to reshape Private Bank processes with Agentic AI, GenAI, and cloud-based solutions. You will lead analysis of large data, design autonomous AI agents, and drive end-to-end AI delivery across teams.

You will oversee prompt engineering, LLM orchestration, and data pipelines, collaborating with leadership to align strategy with business goals. The role emphasizes experimentation, collaboration, and scalable AI tooling.