Elevate your AI and Data Science expertise to new heights by joining the AI4TECH, where you'll transform your career trajectory while guiding multiple teams toward breakthrough innovations at one of the world's leading financial institutions.
As an AI Engineer/Data Scientist at JPMorgan Chase, you will be responsible for developing and implementing generative AI solutions that address diverse challenges across JPMorgan Chase's business lines. In this role, you will spearhead initiatives to create innovative generative AI applications, establish best practices for responsible AI deployment in financial services, and cultivate a culture of AI-driven problem-solving. You will work closely with business units throughout JPMC to ensure that generative AI workflows deliver measurable value while maintaining alignment with strategic priorities.
As a key technical contributor at AI4TECH, you will drive the practical application of generative AI technologies by identifying high-impact use cases within JPMC, tackling implementation challenges, and ensuring all solutions adhere to financial industry regulations, data security requirements, and ethical AI guidelines. Your expertise in building scalable, production-ready generative AI systems will directly enhance JPMC's operational efficiency, customer experiences, and risk management capabilities through intelligent automation of complex financial processes.
Job responsibilities
Provides technical guidance on generative AI solutions and machine learning systems to support business teams, technical partners, and vendors Develops robust, high-quality production code for generative AI applications, while reviewing and optimizing algorithms created by others Drives decisions that influence AI product design, model functionality, and technical operations across JPMC business units Serves as a function-wide subject matter expert in generative AI, natural language processing, and data science methodologies Actively contributes to the AI engineering community as an advocate of responsible AI frameworks, MLOps tools, and best practices Influences peers and project decision-makers to consider the application of cutting-edge AI technologies like large language models and foundational models Adds to the team culture of diversity, opportunity, inclusion, and respect through collaborative AI solution development
Required qualifications, capabilities, and skills
5+ years of experience in AI/ML development, with specific focus on generative AI and large language models Hands-on practical experience delivering AI system design, model development, testing, and operational stability in financial or regulated environments Advanced in Python and relevant machine learning frameworks (PyTorch, TensorFlow, Hugging Face, LangChain) Advanced knowledge of AI/ML applications and technical processes with considerable in-depth knowledge in generative AI, large language models, and responsible AI implementation Ability to tackle complex AI design and functionality problems independently with little to no oversight Practical experience with cloud-native AI/ML infrastructure and deployment at enterprise scale Advanced degree in Computer Science, Artificial Intelligence, Mathematics, or a related technical field with focus on machine learning