JPMorgan GenAI Enablement Lead - Vice President 

United States, New York, New York 

67368963

As a GenAI Enablement Lead - Vice President within the Chief Analytics Office of the Commercial & Investment Bank, you will be tasked with the development of AI strategy, specifically focusing on Large Language Models (LLMs). Your role will involve contributing to the strategy for the Commercial & Investment Bank's AI and Machine Learning initiatives, promoting the bank's adoption of GenAI, and providing client advisory on the topic of GenAI to key Commercial & Investment Bank clients. This position offers a unique opportunity to influence and shape the strategic agenda for GenAI adoption and lead the deployment of JPM's GenAI products within the Commercial & Investment Bank. You will acquire highly technical expertise in Data, AI, and Machine Learning, and hone your problem-solving and communication skills. Additionally, you will be expected to identify emerging trends before they become widely adopted in the market, and stay updated on competitor strategies and new technologies as the AI landscape continues to evolve.

Job responsibilities

• Develop technical expertise in GenAI, specifically to become an SME on LLMs and Agents
• Critically assess GenAI products and influence the product roadmap
• Define and deconstruct complex problems that can be solved through GenAI and identify key priority CIB use cases
• Provide thought leadership on GenAI & LLMs to key CIB clients
• Assimilate information and provide synthesised views for senior management
• Identify emerging trends ahead of broader market adoption

Required qualifications, capabilities, and skills

• Driven with a strategic and curious mindset and keen to continuously learn
• Prior experience with and knowledge of GenAI required, including LLMs, Prompt Engineering and agentic framework
• Outstanding ability to analyse problems and apply quantitative analytical approaches with excellent attention to detail
• Strong verbal/written skills; ability to communicate effectively with management

Preferred qualifications, capabilities, and skills

• Experience or understanding of Financial Services
• BSc or MSc degree in relevant field (e.g. Computer Science)
• Knowledge of Python, orchestration frameworks