Applied AI/ML Lead - Payments

Are you passionate about harnessing the power of artificial intelligence and machine learning to solve real-world challenges? At JPMorganChase, we're transforming the way payments work in the Commercial & Investment Bank by leveraging cutting-edge document extraction and natural language processing (NLP) technologies.

As a Vice President and Applied AI/ML Lead, you'll play a pivotal role in building innovative solutions that enhance trust, safety, and operational efficiency for one of the world's leading financial institutions.

As a Vice President, Applied AI and Machine Learning Lead at JPMorganChase within Payments Technology in the Commercial & Investment Bank, you will lead the delivery of document extraction and natural language processing capabilities that improve trust, safety, and operational effectiveness.

You will own solutions end-to-end, from problem framing and data strategy to production deployment and measurement.

You will remain hands-on while setting technical direction and partnering across product, engineering, data, risk, and compliance stakeholders.

Job 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.

Required Qualifications, Capabilities, and Skills


* 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 t...