Join our dynamic team at JPMorgan Chase as the Vice President and Lead for Applied AI/ML. You'll spearhead the development of cutting-edge GenAI applications, including Search, Chatbots, and Agents, to tackle exciting challenges in commercial banking and financial services. Be part of a vibrant technology team dedicated to pushing the boundaries of AI and enhancing business success.

 As a Vice President and Lead for Applied AI/ML in the Global Bank Technology team, you will lead the creation and implementation of innovative GenAI applications. You will collaborate with cross-functional teams to drive AI integration and innovation within global business operations, contributing directly to the firm's success and industry advancement.

Job Responsibilities:

Lead the development and deployment of GenAI applications, including Search, Chatbots, and Agents. Collaborate with cross-functional teams to identify opportunities for AI integration and drive innovation within global business operations. Utilize expertise in AI, natural language processing, and deep learning to design and implement solutions that improve business processes and outcomes. Mentor and guide a team of AI professionals, fostering a culture of creativity and continuous learning. Stay abreast of industry trends and advancements in AI technology to ensure the organization remains at the cutting edge of innovation.

Required qualifications, capabilities, and skills:

Advanced degree (Master's or Ph.D.) in Computer Science, Artificial Intelligence, Machine Learning, or a related field. Proven experience in developing and deploying AI applications, with a strong focus on natural language processing and deep learning techniques, and at least 6 years of relevant industry experience. Demonstrated leadership skills with the ability to manage and inspire a team of AI professionals in a fast-paced environment. Strong problem-solving abilities and a track record of successfully addressing complex business challenges using AI technologies. Familiarity with cloud platforms, particularly AWS, and experience in leveraging these technologies for AI model deployment and scalability. Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams and stakeholders.

Preferred qualifications, capabilities, and skills:

Understanding of large language model (LLM) approaches, such as Retrieval-Augmented Generation (RAG) and agent-based models, with the ability to apply these techniques to solve business problems. Familiarity with enterprise search technologies and the ability to design and implement search solutions that enhance information retrieval and accessibility within a business context. Expertise in AWS cloud services, including experience in designing and deploying scalable AI solutions using AWS infrastructure.