Job responsibilities

• Designs, deployment, and management of prompt-based models leveraging Large Language Models (LLMs) for diverse NLP tasks in financial services.
• Drives research and application of prompt engineering techniques to enhance model performance, utilizing LLM orchestration and agentic AI libraries.
• Collaborates with cross-functional teams to gather requirements and develop solutions that address organizational business needs.
• Communicates complex technical concepts and results effectively to both technical and non-technical stakeholders.
• Builds and maintain robust data pipelines and processing workflows for prompt engineering on LLMs, leveraging cloud services for scalability and efficiency.
• Develops and maintain tools and frameworks for prompt-based model training, evaluation, and optimization.
• Analyzes and interpret data to assess model performance and identify opportunities for improvement.

Required qualifications, capabilities, and skills

• Formal training or certification on data science concepts and 3+ years applied experience
• Proven experience in prompt design and implementation, or chatbot application development.
• Strong programming skills in Python, with expertise in PyTorch or TensorFlow.
• Experience building data pipelines for both structured and unstructured data. Proficiency 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 clearly to stakeholders and leadership.
• Working knowledge of deployment processes, including experience with GIT and version control systems.
• Familiarity with LLM orchestration and agentic AI libraries.
• Practical experience with MLOps tools and practices to ensure seamless integration of machine learning models into production environments.

• Familiarity with model fine-tuning techniques such as DPO (Direct Preference Optimization) and RLHF (Reinforcement Learning from Human Feedback).
• Knowledge of Java and Spark.

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 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.