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Applied AI ML Lead, Vice President
Applied AI ML Lead, Vice PresidentJ.P. Morgan • Jersey City, New York, US
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Applied AI ML Lead, Vice President

Applied AI ML Lead, Vice President

J.P. Morgan • Jersey City, New York, US
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  • [job_card.full_time]
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hackajob is collaborating with J.P. Morgan to connect them with exceptional tech professionals for this role.

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.

Job 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

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 qualifications, capabilities, and skills

Familiarity with model fine-tuning techniques.

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

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 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

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.

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Vice President • Jersey City, New York, US

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