Applied Artificial Intelligence/ Machine Learning Lead - Vice President

JPMorganChase; Jersey City (NJ); On-site; USD 150,000 - 200,000; Full time

Benefits offered by this job

Comprehensive health care coverage

On-site health and wellness centres

Retirement savings plan

Tuition reimbursement

Mental health support

Financial coaching

Job summary

JPMorganChase is seeking an Applied AI/ML Vice President in Jersey City to lead the development of high-impact models for wealth management, lending, and advisory services. You will focus on defining AI/ML problems, deploying ML solutions, and ensuring model quality. Candidates should have a Master’s or PhD in a quantitative field, along with over 5 years of relevant experience in production environments and deep expertise in NLP techniques. The position includes a competitive rewards package and comprehensive benefits.

Qualifications

• Master’s or PhD in a relevant quantitative field.
• At least 5 years of hands-on ML experience in production.
• Deep expertise in NLP, including LLM fine-tuning and prompt engineering.

Responsibilities

• Define and scope AI/ML problem statements with stakeholders.
• Design, build, and deploy end-to-end ML solutions.
• Own model quality and iteration post-deployment.

Skills

Hands-on ML experience in production environments

Deep expertise in NLP

Strong Python skills

Experience with large-scale data processing

Ability to communicate technical work to non-technical stakeholders

Education

Master’s or PhD in Computer Science, Statistics, Applied Math, or Data Science

Tools

PyTorch

TensorFlow

Scikit-learn

Spark

Hive

SQL

Job description

As an Applied AI/ML Vice President within Global Private Bank, you will own the full lifecycle of high-impact models serving clients across wealth management, lending, and advisory, from problem framing with business stakeholders to production deployment at scale. You will work on some of the most data-rich, complex client problems in financial services, leveraging the infrastructure and resources of one of the world’s largest institutions to build AI-native capabilities at the intersection of cutting‑edge research and real‑world impact.

Job Responsibilities

• Define and scope AI/ML problem statements in partnership with Private Bank business leads, translating ambiguous client or operational pain points into tractable modeling problems.
• Design, build, and deploy end‑to‑end ML solutions — including generative AI, NLP, and classical machine learning — across client service, risk, and operational efficiency use cases.
• Own model quality, evaluation frameworks, monitoring, drift detection, and iteration post‑deployment.
• Drive productionization and MLOps practices in collaboration with engineering, working across distributed data infrastructure.
• Stay current on applied research; evaluate and adapt emerging techniques — new architectures, agentic frameworks, multimodal models — for relevance to the Private Bank’s problem space and translate promising work into production‑ready solutions.
• Mentor junior data scientists and help set technical standards for the team.
• Collaborate across JPMorganChase’s broader AI/ML community, model risk, compliance, and peer LOBs to align on standards, share learnings, and amplify the team’s impact firm‑wide.

Required qualifications, capabilities, and skills

• Master’s or PhD in Computer Science, Statistics, Applied Math, Data Science, or a related quantitative field.
• At least 5 years of hands‑on ML experience in production environments.
• Deep expertise in NLP, including modern LLM fine‑tuning, RAG pipelines, prompt engineering, and the design and deployment of multi‑step AI agents.
• Strong Python skills; proficiency with PyTorch, TensorFlow, Scikit‑learn and other libraries.
• Experience with large‑scale data processing: Spark, Hive, SQL.
• Proven ability to communicate technical work to non‑technical stakeholders.

Preferred qualifications, capabilities, and skills

• Financial services experience.

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 a base salary determined based on the role, experience, skill set and location. Eligible roles may receive commission‑based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity. We also offer a range of benefits and programs to meet employee needs, such as comprehensive health care coverage, on‑site health and wellness centres, a retirement savings plan, backup childcare, tuition reimbursement, mental health support and financial coaching.

Equal Opportunity Employer

We are an equal opportunity employer and place a high value on diversity and inclusion. 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 Asset & Wealth Management delivers industry‑leading investment management and private banking solutions. Asset Management provides individuals, advisors and institutions with strategies and expertise that span the full spectrum of asset classes through our global network of investment professionals. Wealth Management helps individuals, families and foundations take a more intentional approach to their wealth or finances to better define, focus and realize their goals.