Lead AI/ML for Wholesale Payments Ops (AWS, NLP, LLM)

J.P. Morgan; New York (NY); On-site; USD 180,000 - 240,000; Full time

Job summary

JPMorgan Chase & Co. is seeking an Applied AI/ML Lead in Wholesale Payments Operations. You will build enterprise AI/ML solutions, frame problems with senior stakeholders, and plan roadmaps. The role emphasizes production services on AWS, governance, and mentoring engineers.

You will work on document processing, NLP, OCR, and LLM workflows at scale, collaborating with business and technology partners to deliver measurable outcomes.

Qualifications

• Master’s degree in Mathematics, Computer Science, Engineering, or a related quantitative field.
• 6 years of professional AI/ML experience delivering production systems.
• 4 years of advanced Python development in production environments.
• 4 years deploying production ML systems on AWS (SageMaker, Lambda, ECS/EKS, S3).
• Experience delivering AI/ML solutions with measurable business outcomes at scale.
• Experience with OOP, distributed systems, and performance engineering.
• Experience building and deploying LLM-based apps including RAG and fine-tuning.
• Hands-on NLP, CV, OCR, or document AI in production.
• Experience with MLOps tools like MLflow, Kubeflow, Airflow, feature stores, model registries.
• Mentoring engineers and driving multi-quarter roadmaps.
• Strong communication translating business needs to tech deliverables.

Responsibilities

• Frame problems with senior stakeholders and align AI/ML roadmaps to business priorities.
• Lead architecture, design, and end-to-end delivery of enterprise AI/ML solutions for Wholesale Payments Operations.
• Write clean, production-grade code and set engineering standards across the team.
• Champion SDLC, CI/CD, and DevOps practices.
• Deploy and operate AI/ML services on AWS at scale.
• Apply data mining, NLP, OCR, and LLM workflows in production.
• Design scalable data pipelines for model training and inference.
• Enforce MLOps, governance, monitoring, and risk practices; represent in architecture forums.
• Evaluate model performance, drift, and reproducibility.
• Mentor engineers, perform reviews, and support recruiting and talent development.

Skills

Python

NLP

LLM

MLOps

Leadership

Education

Master’s degree in Mathematics, CS, or Engineering

Tools

SageMaker

Kubeflow

Airflow

Terraform

Job description

JPMorgan Chase & Co. is seeking an Applied AI/ML Lead in Wholesale Payments Operations. You will build enterprise AI/ML solutions, frame problems with senior stakeholders, and plan roadmaps. The role emphasizes production services on AWS, governance, and mentoring engineers.

You will work on document processing, NLP, OCR, and LLM workflows at scale, collaborating with business and technology partners to deliver measurable outcomes.