We have an exciting and rewarding opportunity for you to take your AI/ML career to the next level. Join us to make a significant impact on risk technology solutions at JPMorgan Chase.

Job summary

As an Applied AI/ML Software Engineer III at JPMorgan Chase within the Risk Technology team, you research, develop, and implement innovative Generative AI solutions that transform our risk assessment capabilities. You turn cutting-edge AI research into practical applications that enhance operational efficiencies and integrate with our risk calculation frameworks, supporting the firm's business objectives.

Job responsibilities

Execute research and experimentation with Large Language Models and Generative AI technologies to solve complex risk technology challengesCreate secure and high-quality prototypes and proof-of-concepts for AI applications in risk managementProduce scalable and production-ready AI systems that integrate with existing risk calculation frameworksGather, analyze, and synthesize insights from diverse data sets to improve AI model performance and risk assessment capabilitiesProactively identify opportunities for AI implementation and recommend optimal solutions for specific use casesContribute to AI/ML communities of practice and events that explore new and emerging technologies

Required qualifications, capabilities, and skills

Formal training or certification on software engineering concepts and 3+ years applied experience with focus on AI/ML applicationsHands-on practical experience with Large Language Models (e.g., GPT, BERT)Strong understanding of Generative AI concepts and applicationsProficient in Python programming and experience with ML frameworks (e.g., PyTorch, TensorFlow, Hugging Face)Familiarity with cloud-based AI services such as AWS, Azure, or GCPOverall knowledge of the Software Development Life Cycle and software engineering best practices including Git, CI/CD, and testingStrong communication skills to explain complex technical concepts

Preferred qualifications, capabilities, and skills

Knowledge of model fine-tuning and Retrieval Augmented GenerationUnderstanding of risk management principles in financial servicesExperience with large-scale database technologiesFamiliarity with agile development methodologies