VP AI Agents: Research to Production Leader

J.P. Morgan; New York (NY); On-site; USD 120,000 - 160,000; Full time

Benefits offered by this job

Comprehensive health care coverage

Retirement savings plan

Tuition reimbursement

Mental health support

Financial coaching

Job summary

A leading financial services firm in New York seeks an AI Agents Applied Research/Engineering Lead to drive the research, design, and deployment of advanced AI systems. The ideal candidate will have a Ph.D. or M.S. and experience in developing AI systems for large-scale applications. You will lead the construction of LLM-based agents to improve financial decision-making for millions of customers while ensuring safety and compliance. This is an opportunity to publish research and contribute to pioneering projects in the AI domain.

Qualifications

• Ph.D. or M.S. degree with relevant experience.
• Experience in building and deploying AI systems in production.
• Strong background in machine learning and statistical modeling.

Responsibilities

• Lead research and deployment of agentic AI systems.
• Fine-tune and optimize LLMs for production.
• Design experiments and track success metrics.

Skills

Applied GenAI experience with LLMs

Proficiency in Python

Strong foundation in ML

Experience in Information Retrieval

Experience scaling LLM systems

Demonstrated research agenda

Ability to present findings

Education

Ph.D. with 1+ years or M.S. with 3+ years

Tools

PyTorch

TensorFlow

scikit-learn

Hugging Face

Job description

A leading financial services firm in New York seeks an AI Agents Applied Research/Engineering Lead to drive the research, design, and deployment of advanced AI systems. The ideal candidate will have a Ph.D. or M.S. and experience in developing AI systems for large-scale applications. You will lead the construction of LLM-based agents to improve financial decision-making for millions of customers while ensuring safety and compliance. This is an opportunity to publish research and contribute to pioneering projects in the AI domain.