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Chase · 4 months ago

AI/ML Engineer – Agentic Private Bank Engineer , Vice President

545 Washington Blvd, Jersey City, NJ, 07310, US

Full-time

Onsite

Mid, Senior Level

$164K/yr - $260K/yr

5+ years exp

Chase is a leading financial institution, and they are seeking an AI/ML Engineer to help shape the future of their Private Bank. The role involves leading the development of AI solutions to enhance automation and decision-making processes while collaborating with cross-functional teams to meet business needs.

BankingFinancial Services

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

Qualification

Agentic AI solutionsPython programmingLLM orchestrationMLOps toolsCloud platforms (AWS/Azure)Data pipelinesSoftware engineering certificationAPIs developmentVersion control (GIT)Financial products knowledgeProblem-solving skills

Required

Formal training or certification on software engineering concepts and 5+ years of applied experience

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

Familiarity with model fine-tuning techniques

Knowledge of financial products and services, including trading, investment, and risk management

Company

Chase

Glassdoor3.9

Chase provides broad range of financial services. It is a sub-organization of JP Morgan Chase.

Founded in 2000

New York, New York, USA

10001+ employees

https://www.chase.com/

Funding

Current Stage

Late Stage

Leadership Team

Mike McDonnell

Managing Director, Head of Chase Travel Platform Product

Nicole Sanchez

Managing Director, Consumer Bank, GM and Product Executive, Growth Financial Products

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