Applied AI Lead-Vice Presient

The GT Chief Data & Analytics Office (CDAO) at JPMorgan Chase develops data science solutions for a wide range of global technology (GT) use cases. Data scientists within GT CDAO tackle business critical priorities using innovative machine learning techniques and technologies with a focus on machine learning for data, cyber, software, and technology infrastructure.

As the Applied AI ML Lead-Vice President in the GT Chief Data & Analytics Office(CDAO) at JPMorgan Chase, you will apply sophisticated machine learning, LLM, and agentic methods to a wide variety of complex tasks, large data sets, data lakes, and MCP services, to deliver solutions including agentic assistants, anomaly detection, classification, and document corpus retrieval.

You will collaborate with various teams and actively participate in our knowledge sharing community. We are looking for someone who excels in a highly collaborative environment, working together with our business, technologists and control partners to deploy solutions into production. If you have a strong passion for machine learning and enjoy investing time towards learning, researching and experimenting with new innovations in the field, this role is for you.

We value solid expertise in Deep Learning with hands-on implementation experience, strong analytical thinking, continuous improvement, and high motivation.

** Job Responsibilities*
* + Develop state-of-the art machine learning models to solve real-world problems and apply it to complex business critical problems technology and infrastructure domains

+ Collaborate with partner teams in strategy, governance, controls, and engineering to deploy solutions into production

+  Bridge advanced AI research with robust engineering to build innovative, production-ready solutions.

** Required qualifications, capabilities and skills*
* + PhD in a quantitative discipline (e.g. Computer Science, Electrical Engineering, Mathematics, Operations Research, Optimization, or Data Science.) with 2 years experience Or Masters with 5 years of industry or research experience in the field.

+ Hands-on experience and solid understanding of machine learning, LLMs fine-tuning including PEFT, and agentic design

+  

Experience with advanced agentic workflow orchestration, including multi-agent coordination, stateful task management, and integration with enterprise event-driven architectures.

+ Extensive experience with machine learning and deep learning toolkits (e.g.: PyTorch, Transformers, Num Py, Scikit-Learn, Pandas)

+ Extensive experience with multi-modal large language models (LLMs) and accompanying tools & techniques in the LLM ecosystem (e.g. Lang Chain, Lang Graph, vector databases, opensource models, RAG, agentic systems & workflows, LLM fine-tuning)

+ Ability to design experiments and training frameworks, and to outline and evaluate intrinsic and extrinsic metrics for model performance aligned with business goals

+

Experience with big data and scalable model training

+ Solid written and spoken communication to effectively communicate technical concepts and results to both technical and business audiences

+ Curious, hardworking, and detail-oriented, and motivated by complex analytical problems

+ Ability to work both independently and in highly collaborative team environments

** Preferred qualifications, capabilities, and skills*
* +

Experience with developing and deploying machine learning models for enterprise-scale meta data management, data governance, data quality on cloud data lakes, cyber threat detection

+

Experience with AWS deployment

+ Ability to develop and debug production-quality code and leverage AI pair programming

+ Strong background in Mathematics and Statistics

JPMorgan

Chase, 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…