AI/ML Engineer -Agentic Private Bank Engineer, Senior Associate

Aumni; Jersey City (NJ); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Health insurance

Retirement plan

Paid time off

Job summary

JPMorganChase is seeking an AI ML Engineer to design, research, and productionize machine learning models and data pipelines for Private Bank initiatives. You will collaborate with data science, product, and business teams to deliver scalable ML solutions.

Responsibilities include building OpenSearch-backed data pipelines, deploying Python tools, and exploring prompt-based models with LLMs in financial services. This role emphasizes collaboration, reliability, and business impact.

Qualifications

• Formal training or certification on software engineering concepts and 3+ years applied experience
• Experience with prompt design and implementation or chatbot application
• Advanced knowledge of SQL and NoSQL (OpenSearch, Elasticsearch, and / or Apache Lucene) with Git, containerization, and CI / CD
• 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 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
• Familiarity with LLM orchestration and agentic AI libraries
• Hands on experience with MLOps tools and practices, ensuring seamless integration of machine learning models into production environment

Responsibilities

• Collaborate with Data Science, Product, and business stakeholders to design, implement, and monitor robust database solutions predicated on OpenSearch
• Design, write, and deploy well-crafted and well-tested Python in support of Machine Learning products and tools across the company
• Design, deploy and manage prompt-based models on LLMs for various NLP tasks in the financial services domain
• Conduct 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
• 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 framework for prompt-based model training, evaluation and optimization
• Analyze and interpret data to evaluate model performance to identify areas of improvement

Skills

Prompt design

Python

PyTorch

TensorFlow

Data pipelines

APIs

Cloud AWS/Azure

OpenSearch

SQL

NoSQL

LLM orchestration

MLOps

Git

Communication

Tools

OpenSearch

Job 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.

As an AI ML Engineer within the team at JPMorgan, you will collaborate with all lines of business and functions to deliver software solutions. You will have opportunity to research, experiment, develop, and productionize high-quality machine learning models, services, and platforms to make a significant business impact. You will also design and implement highly scalable and reliable data processing pipelines and perform analysis and insights to promote and optimize business results.

Job responsibilities

• Collaborate with Data Science, Product, and business stakeholders to design, implement, and monitor robust database solutions predicated on OpenSearch

• Design, write, and deploy well-crafted and well-tested Python in support of Machine Learning products and tools across the company
  Design, deploy and manage prompt-based models on LLMs for various NLP tasks in the financial services domain

• Conduct 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

• 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 framework for prompt-based model training, evaluation and optimization

• Analyze and interpret data to evaluate model performance to identify areas of improvement

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 3+ years applied experience

• Experience with prompt design and implementation or chatbot application

• Advanced knowledge of SQL and NoSQL (OpenSearch, Elasticsearch, and / or Apache Lucene) with Git, containerization, and CI / CD

• 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 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

• Familiarity with LLM orchestration and agentic AI libraries

• Hands on experience with MLOps tools and practices, ensuring seamless integration of machine learning models into production environment

Preferred qualifications, capabilities, and skills

• Familiarity with model fine-tuning techniques such as DPO and RLHF.

• Knowledge of Java, Spark

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

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

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. This role offers opportunity in the financial services industry by developing impactful AI/ML solutions.