VP, AI/ML Lead — Document AI for Payments

JPMorganChase; Seattle (WA); On-site; USD 240,000 - 360,000; Full time

Job summary

JPMorganChase is seeking a Vice President, Applied AI/ML Lead in Payments Technology to drive end-to-end NLP and document extraction solutions that enhance trust, safety, and operational efficiency. You will frame problems, define data strategy, deploy models in production, and measure impact across stakeholders.

You will lead collaboration with product, engineering, data, risk, and compliance teams, setting technical direction and delivering scalable ML pipelines in a regulated financial

Qualifications

• Formal training or certification on applied artificial intelligence and machine learning concepts and 5+ years applied experience.
• 5+ years of experience building and delivering applied machine learning or natural language processing solutions with measurable outcomes in production.
• Strong programming skills in Python and experience using modern ML frameworks such as PyTorch or TensorFlow.
• Hands-on experience with document extraction and NLP techniques including text classification and information extraction.
• Experience designing data-driven solutions using SQL and distributed processing tools such as Spark or equivalent.
• Experience deploying and operating ML services or pipelines in a cloud environment such as AWS.
• Demonstrated ability to translate ambiguous business problems into structured ML plans, including data strategy, evaluation, rollout, and operationalization.
• Strong communication and collaboration skills, including the ability to explain technical tradeoffs to technical and non-technical partners.

Responsibilities

• Own end-to-end delivery of document extraction and NLP solutions, from opportunity sizing through production rollout.
• Design scalable model pipelines for document ingestion, text extraction, classification, and ranking.
• Develop and improve NLP algorithms to extract entities, relationships, and signals from unstructured text and documents.
• Define evaluation strategies and success metrics, including offline validation, error analysis, robustness testing, and online measurement.
• Establish model lifecycle practices including reproducibility, testing, monitoring, drift detection, and incident response.
• Partner with risk and compliance to ensure documentation, controls, explainability, and audit-ready processes.
• Drive technical decisions through design reviews, code and model reviews, and standards that raise quality and velocity.
• Communicate tradeoffs and recommendations to senior stakeholders with business impact.

Skills

Python

PyTorch

TensorFlow

NLP

Document understanding

Data strategy

Communication

Tools

SQL

Spark

AWS

CI/CD ML

Job description

JPMorganChase is seeking a Vice President, Applied AI/ML Lead in Payments Technology to drive end-to-end NLP and document extraction solutions that enhance trust, safety, and operational efficiency. You will frame problems, define data strategy, deploy models in production, and measure impact across stakeholders.

You will lead collaboration with product, engineering, data, risk, and compliance teams, setting technical direction and delivering scalable ML pipelines in a regulated financial