Job Description

We have an exciting and rewarding opportunity for you to take your AI/ML career to the next level while making a significant impact on risk technology solutions.


As an Applied AI/ML Software Engineer III at JPMorgan Chase within the Risk Technology team, you serve as a key contributor in researching, developing, and implementing innovative Generative AI solutions that transform our risk assessment capabilities. You are responsible for turning cutting-edge AI research into practical applications that enhance operational efficiencies and integrate with our existing risk calculation frameworks, supporting the firm's business objectives in an ever-evolving technological landscape. Our Risk Technology team relies on innovative thinkers like you to develop cutting-edge AI solutions that enhance our risk assessment and management capabilities across our network. Your efforts will directly impact how we identify, measure, and mitigate risks across all divisions of JPMorgan Chase. You'll be part of a forward-thinking team specifically built to explore and implement emerging AI technologies that address complex challenges in risk management, while adhering to our robust technology controls and governance framework. We foster a culture that encourages experimentation, continuous learning, and collaboration as we work to transform risk technology through the power of artificial intelligence.

Job Responsibilities

Executes research and experimentation with Large Language Models and other Generative AI technologies to solve complex risk technology challenges Creates secure and high-quality prototypes and proof-of-concepts that demonstrate the potential of AI applications in risk management Produces scalable and production-ready AI systems that integrate with existing risk calculation frameworks Gathers, analyzes, and synthesizes insights from diverse data sets to improve AI model performance and risk assessment capabilities Proactively identifies opportunities for AI implementation and recommends optimal solutions for specific use cases Contributes to AI/ML communities of practice and events that explore new and emerging technologies Adds to team culture of diversity, equity, inclusion, and respect Writes secure and high-quality code using Python and relevant ML frameworks Designs and implements AI solutions that enhance operational efficiencies across business and technology functions Applies technical expertise to document findings and share knowledge with broader technology teams Mentors junior team members in AI/ML technologies and approaches

Required qualifications, capabilities and skills

Formal training or certification on software engineering concepts and applied experience with focus on AI/ML applications Hands-on experience with Large Language Models (GPT, BERT, etc.) Strong understanding of Generative AI concepts and applications Proficiency in prompt engineering techniques Advanced Python programming skills Experience with ML frameworks (PyTorch, TensorFlow, Hugging Face) Familiarity with cloud-based AI services (AWS, Azure, or GCP) Knowledge of software engineering best practices including Git, CI/CD, and testing Overall knowledge of the Software Development Life Cycle Strong communication skills to explain complex technical concepts Demonstrated innovative thinking and creative problem-solving abilities

Preferred qualifications, capabilities, and skills

Knowledge of model fine-tuning and Retrieval Augmented Generation (RAG) Understanding of risk management principles in financial services Experience with large-scale database technologies Background in research or academic contributions in AI/ML Previous experience applying AI solutions to business problems Knowledge of AI ethics and responsible implementation practices * Familiarity with agile development methodologies