Applied AI/ML Lead - 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

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 will 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 within Payments Technology, 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, 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 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.

Preferred Qualifications, Capabilities, And Skills

• Experience with optical character recognition and document understanding workflows for scanned or semi‑structured documents.
• Experience with modern natural language processing architectures such as transformer‑based models and techniques for optimization and efficient inference.
• Experience with machine learning operations practices and tooling, including model registries, continuous integration and delivery for machine learning, and observability.
• Experience with real‑time or event‑driven architectures supporting low‑latency inference and feature generation.
• Experience applying document extraction or natural language processing in payments, financial services, or regulated environments.

FEDERAL DEPOSIT INSURANCE ACT: This position is subject to Section 19 of the Federal Deposit Insurance Act. As such, an employment offer for this position is contingent on JPMorganChase’s review of criminal conviction history, including pretrial diversions or program entries.

About Us

JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission‑based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on‑site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans.

About The Team

J.P. Morgan’s Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.