VP Applied AI/ML Lead — Payments NLP & Document AI

J.P. Morgan; New York (NY); On-site; USD 300,000 - 420,000; Full time

Job summary

JPMorganChase within Payments Technology in the Commercial & Investment Bank is seeking a Vice President, Applied AI and Machine Learning Lead to deliver document extraction and NLP capabilities, improving trust, safety, and operational effectiveness across payments.

You will own end-to-end solutions from problem framing to deployment, stay hands-on while guiding data strategy, production readiness, and cross-functional collaboration with product, engineering, risk, and compliance.

Qualifications

• Formal training or certification in applied AI/ML concepts and 3+ years applied experience.
• 3+ years of experience building and delivering applied ML or NLP 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 or equivalent.
• 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 to 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 NLP algorithms and models 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 where appropriate.
• Establish model lifecycle practices including reproducibility, testing, monitoring, drift detection, and incident response.
• Partner with risk and compliance stakeholders 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, translating model behavior into business impact.

Skills

Python programming

PyTorch

TensorFlow

SQL

Spark

Cloud deployment

Communication skills

Problem framing

Stakeholder collaboration

Education

Master's degree in CS / AI or related field

Tools

Model registries

CI/CD for ML

Observability tooling

Job description

JPMorganChase within Payments Technology in the Commercial & Investment Bank is seeking a Vice President, Applied AI and Machine Learning Lead to deliver document extraction and NLP capabilities, improving trust, safety, and operational effectiveness across payments.

You will own end-to-end solutions from problem framing to deployment, stay hands-on while guiding data strategy, production readiness, and cross-functional collaboration with product, engineering, risk, and compliance.