Lead AI/ML Engineer: Enterprise Payments (AWS/NLP/OCR)

Aumni; Jersey City (NJ); On-site; USD 220,000 - 320,000; Full time

Benefits offered by this job

Total rewards package

Job summary

JPMorgan Chase & Co. is seeking an Applied AI/ML - Vice President within the Wholesale Payments Operations team to build enterprise AI/ML solutions that improve efficiency and decisioning. You will partner with senior stakeholders to frame problems, plan roadmaps, and deploy production services on AWS with strong governance.

You will mentor engineers, lead reviews, and contribute to reusable platforms for scalable payments operations, including document processing, NLP, and LLM workflows.

Qualifications

• Master’s degree in Computer Science, Engineering, Mathematics, or a related quantitative field.
• 6 years of professional software engineering experience delivering production systems.
• 4 years of advanced Python development in production environments, including AI-assisted coding tools.
• 4 years of hands-on experience designing and deploying production machine learning systems on AWS (SageMaker, Lambda, ECS/EKS, S3).
• Demonstrated experience delivering AI/ML solutions with measurable business outcomes at scale.

Responsibilities

• Partner with senior business stakeholders to frame problems, define success metrics, and align AI/ML roadmaps to priorities.
• Lead architecture, design, and end-to-end delivery of enterprise AI/ML solutions for Wholesale Payments Operations.
• Write clean, production-quality 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.
• Define and enforce MLOps, model governance, monitoring, and responsible AI practices.

Skills

Python development

AWS

NLP

LLM workflows

MLOps

Leadership

Communication

Education

Master’s degree in CS/Engineering

Tools

AWS SageMaker

Lambda

ECS/EKS

S3

Job description

JPMorgan Chase & Co. is seeking an Applied AI/ML - Vice President within the Wholesale Payments Operations team to build enterprise AI/ML solutions that improve efficiency and decisioning. You will partner with senior stakeholders to frame problems, plan roadmaps, and deploy production services on AWS with strong governance.

You will mentor engineers, lead reviews, and contribute to reusable platforms for scalable payments operations, including document processing, NLP, and LLM workflows.