Enterprise AI/ML Lead for Payments & LLM Apps

JPMorgan Chase; Jersey City (NJ); On-site; USD 170,000 - 230,000; Full time

Job summary

JPMorgan Chase is seeking a senior AI/ML engineer to join a team delivering high-scale AI/ML solutions for Wholesale Payments Operations. You will frame problems with business stakeholders, design end-to-end architectures, and write production-grade Python code.

You will deploy services on AWS, implement NLP/OCR/document AI, and drive MLOps, governance, and responsible AI practices while mentoring engineers and collaborating with partners across the business.

Qualifications

• Master's degree required in a 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 OO design, distributed systems, and performance engineering.
• Experience building deploying LLM-based apps incl. RAG and fine-tuning.
• Hands-on NLP, OCR, or document AI production experience.
• MLOps practices with tools like MLflow, Kubeflow, Airflow, feature stores, or model registries.

Responsibilities

• Partner with senior business stakeholders to frame problems, define success metrics, 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-quality code and set engineering standards across the team
• Champion modern SDLC, CI/CD, and DevOps practices
• Deploy and operate AI/ML services on AWS at scale
• Apply data/text mining, document analysis, NLP, OCR, and LLM workflows (RAG & fine-tuning)
• Design scalable, secure data pipelines for model training and inference
• Define and enforce MLOps, model governance, monitoring, and responsible AI; participate in risk forums
• Evaluate production model performance, drift management, reproducibility
• Mentor engineers, conduct reviews, support recruiting and talent development

Skills

Python development

AWS (SageMaker, Lambda, ECS/EKS, S3)

NLP / OCR / Document AI

LLM workflows (RAG, fine-tuning)

MLOps tooling (MLflow, Kubeflow, Airflo

Mentoring / leadership

Education

Master's degree in Mathematics, Computer Science, Engineering, or related field

Job description

JPMorgan Chase is seeking a senior AI/ML engineer to join a team delivering high-scale AI/ML solutions for Wholesale Payments Operations. You will frame problems with business stakeholders, design end-to-end architectures, and write production-grade Python code.

You will deploy services on AWS, implement NLP/OCR/document AI, and drive MLOps, governance, and responsible AI practices while mentoring engineers and collaborating with partners across the business.