VP, Applied AI/ML Leader — Document NLP for Payments

JPMorgan Chase & Co.; Seattle (WA); On-site; USD 240,000 - 360,000; Full time

Job summary

JPMorganChase is seeking a Vice President, Applied AI and Machine Learning Lead within Payments Technology of the Commercial & Investment Bank to lead end-to-end document extraction and NLP initiatives. You will own problem framing, data strategy, deployment, and measurement while guiding a team across product, engineering, data, risk, and compliance stakeholders.

The role emphasizes hands-on technical leadership, setting direction, and communicating tradeoffs to senior stakeholders to deliver

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 machine learning frameworks such as PyTorch or TensorFlow.
• Hands-on experience with document extraction and natural language processing 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 machine learning services or pipelines in a cloud environment such as Amazon Web Services (or equivalent).
• Demonstrated ability to translate ambiguous business problems into structured machine learning 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 natural language processing solutions, from opportunity sizing and requirements through production rollout and iteration.
• Design scalable model pipelines for document ingestion, text extraction, classification, and ranking, balancing accuracy, latency, throughput, and cost.
• Develop and improve natural language processing algorithms and model approaches 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 controlled online measurement where appropriate.
• Establish model lifecycle practices including reproducibility, testing, monitoring, drift detection, and incident response to sustain reliable production performance.
• Partner with risk and compliance stakeholders to ensure appropriate documentation, controls, explainability expectations, and audit-ready processes.
• Drive technical decisions through design reviews, code and model reviews, and pragmatic standards that raise quality and delivery velocity.
• Communicate tradeoffs and recommendations to senior stakeholders, translating model behavior into decision-ready business impact.

Skills

Python

PyTorch

TensorFlow

NLP

SQL

Spark

AWS

Tools

Spark

AWS

Job description

JPMorganChase is seeking a Vice President, Applied AI and Machine Learning Lead within Payments Technology of the Commercial & Investment Bank to lead end-to-end document extraction and NLP initiatives. You will own problem framing, data strategy, deployment, and measurement while guiding a team across product, engineering, data, risk, and compliance stakeholders.

The role emphasizes hands-on technical leadership, setting direction, and communicating tradeoffs to senior stakeholders to deliver