GenAI Engineering - Executive Director

JPMorganChase • Jersey City, NJ

1d

About The Position

JPMC is hiring the best talents to join the growing Asset and Wealth Management AI Engineering team. We are executing like a startup and building next-generation technology that combines JPMC unique data and full-service advantage to develop high impact AI applications and platforms in the financial services industry. We are looking for hands-on ML Engineering leader and expert who is excited about the opportunity. As a Director of Data Science and AI , you will play a lead role as a senior member of our global team. Your responsibilities will entail hands-on development of high-impact business solutions through data analysis, developing cutting-edge ML and LLM models, and deploying these models to production environments on AWS or Azure. You’ll combine your years of proven development expertise with a never-ending quest to create innovative technology through solid engineering practices. Your passion and experience in one or more technology domains will help solve complex business problems to serve our Private Bank clients. As a constant learner and early adopter, you’re already embracing leading-edge technologies and methodologies; your example encourages others to follow suit. Represent the US-based team in the region and work closely with AWM CTOs to drive AI initiatives Provide technical leadership and mentorship, while being willing to roll up your sleeves to get the work done Collaborate with firmwide ML teams, Business and Product Partners, peers in geographically dispersed teams, and colleagues across JPMorgan AWM’s lines of business and functions to drive alignment, accelerate adoption of common AI capabilities, and deliver impactful solutions Hands-on architecture and implementation of lighthouse ML and LLM-powered solutions Design and implement highly scalable and reliable data processing pipelines and deploy model inference services Experiment, develop, and productionize high-quality machine learning models, services, and platforms to make a huge technology and business impact Deploy solutions into public cloud infrastructure

Requirements

• MS in Computer Science, Statistics, Mathematics, or Machine Learning
• Minimum 15 years of development experience, with at least 5 years working on AI solutions and a minimum of 3 years leading large teams
• Experience in using LLMs (OpenAI, Claude, or other models) to solve business problems, including full workflow toolset such as tracing, evaluations, and guardrails; understanding of LLM fine-tuning and inference is a plus
• Must have strong programming skills in Python, Go, or Java
• Deep knowledge in Data Structures, Algorithms, Machine Learning, Data Mining, Information Retrieval, and Statistics
• Expertise in application, data, and infrastructure architecture disciplines
• Expert knowledge of one of the cloud computing platforms preferred: Amazon Web Services (AWS), Azure, Kubernetes
• Proven leadership capacity, including new AI/ML idea generation and GenAI-based solutions
• Excellent communication skills and ability to communicate with senior technical and business partners

Nice To Haves

• Experience working in the financial domain with a large financial institution in Asset and Wealth Management, Brokerage, or Investment Banking will be an added advantage

Responsibilities

• Represent the US-based team in the region and work closely with AWM CTOs to drive AI initiatives
• Provide technical leadership and mentorship, while being willing to roll up your sleeves to get the work done
• Collaborate with firmwide ML teams, Business and Product Partners, peers in geographically dispersed teams, and colleagues across JPMorgan AWM’s lines of business and functions to drive alignment, accelerate adoption of common AI capabilities, and deliver impactful solutions
• Hands-on architecture and implementation of lighthouse ML and LLM-powered solutions
• Design and implement highly scalable and reliable data processing pipelines and deploy model inference services
• Experiment, develop, and productionize high-quality machine learning models, services, and platforms to make a huge technology and business impact
• Deploy solutions into public cloud infrastructure

What This Job Offers

• Job Type: Full-time
• Career Level: Director
• Number of Employees: 5,001-10,000 employees