Applied AI ML Director GPB Operations and Core Technology

Your opportunity to make a real impact and shape the future of financial services is waiting for you. Let’s push the boundaries of what's possible together

As an Applied AI / GenAI ML Director within the Asset and Wealth Management Technology Team at JPMorgan Chase, you will provide deep engineering expertise and work across agile teams to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. You will leverage your deep expertise to consistently challenge the status quo, innovate for business impact, lead the strategic development behind new and existing products and technology portfolios, and remain at the forefront of industry trends, best practices, and technological advances. This role will focus on establishing and nurturing common capabilities, best practices, and reusable frameworks, creating a foundation for AI excellence that accelerates innovation and consistency across business functions.

Job responsibilities

• Establish and promote a library of common ML assets, including reusable ML models, features stores, data pipelines, and standardized templates.
• Lead efforts to create shared tools and platforms that streamline the end-to-end ML lifecycle across the organization.
• Create curative solutions using GenAI workflows through advanced proficiency in large language models (LLMs) and related techniques
• Gain Experience with creating a Generative AI evaluation and feedback loop for GenAI / ML pipeline
• Advise on the strategy and development of multiple products, applications, and technologies. Lead advisor on the technical feasibility and business need for AIML use cases.
• Leverage AI / ML to generate insights and recommendations for business actions, to reduce costs, to increase capabilities, to enhance controls, and to improve employee experiences.
• Build and manage team with responsibility for developing and delivering AI / ML solutions to support AWM - GPB Operations and Core Technology Product Areas
• Drive internal development, promote reuse and partnership of AI / ML techniques and tools with groups across the firm, and leverage vendor solutions, as appropriate
• Partner with AWM AI / ML and Architecture teams to architect and implement scalable, cost effective, enterprise quality data and analytics systems
• Ensure conformance with all applicable controls, policies, and procedure

Required qualifications, capabilities, and skills