AI/ML Engineer – Agentic Private Bank Engineer , Vice President
Company: JPMorganChase
Location: Jersey City
Posted on: April 1, 2026
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Job Description:
Description This is a rare opportunity to help shape the future
of our Private Bank. With the sponsorship from the CEO and the
heads of the business, our goal is to create an Agentic Private
Bank - reimagining the entire process from start to finish,
rethinking the operating model including organizational structures
and developing AI agents equipped with the latest tools and
technologies to fundamentally reshape how we perform this business.
Join our dynamic team of innovators and technologists as an Applied
AI/ML Lead, where your mission will be to revolutionize how the
Bank services and advises clients, deepen client engagements, and
drive process transformation. You will lead efforts to analyze
existing processes and vast amounts of data to design autonomous AI
agents. We seek leaders passionate about leveraging advanced data
analysis, statistical modeling, and AI/ML techniques to solve
complex business challenges through high-quality, cloud-centric
software delivery. Our culture thrives on experimentation,
continuous improvement, and learning. You will work in a
collaborative, trusting, and intellectually stimulating
environment—one that values diversity of thought and fosters
creative solutions that serve the best interests of our global
clientele. J ob Responsibilities Lead the development and
implementation of GenAI and Agentic AI solutions using Python to
enhance automation and decision-making processes. Oversee the
design, deployment, and management of prompt-based models on LLMs
for various NLP tasks in the financial services domain. Conduct and
guide research on prompt engineering techniques to improve the
performance of prompt-based models within the financial services
field, exploring and utilizing LLM orchestration and agentic AI
libraries. Collaborate with cross-functional teams to identify
requirements and develop solutions to meet business needs within
the organization. Communicate effectively with both technical and
non-technical stakeholders, including senior leadership. Build and
maintain data pipelines and data processing workflows for prompt
engineering on LLMs utilizing cloud services for scalability and
efficiency. Develop and maintain tools and frameworks for
prompt-based model training, evaluation, and optimization. Analyze
and interpret data to evaluate model performance and identify areas
of improvement. Required qualifications, capabilities, and skills
PhD in a quantitative discipline, e.g. Computer Science, Electrical
Engineering, Mathematics, Operations Research, Optimization, or
Data Science Or an MS with at least 7 years of industry or research
experience in the field. Hands-on experience in building Agentic AI
solutions. Familiarity with LLM orchestration and agentic AI
libraries. Strong programming skills in Python with experience in
PyTorch or TensorFlow. Experience building data pipelines for both
structured and unstructured data processing. Experience in
developing APIs and integrating NLP or LLM models into software
applications. Hands-on experience with cloud platforms (AWS or
Azure) for AI/ML deployment and data processing. Excellent
problem-solving skills and the ability to communicate ideas and
results to stakeholders and leadership in a clear and concise
manner. Basic knowledge of deployment processes, including
experience with GIT and version control systems. Hands-on
experience with MLOps tools and practices, ensuring seamless
integration of machine learning models into production
environments. Preferred qualifications, capabilities, and skills
Familiarity with model fine-tuning techniques. Knowledge of
financial products and services, including trading, investment, and
risk management.
Keywords: JPMorganChase, New Britain , AI/ML Engineer – Agentic Private Bank Engineer , Vice President, IT / Software / Systems , Jersey City, Connecticut
