The Applied AI/ML Director will enhance technology products, establish reusable ML assets, lead AI initiatives, and manage a team to innovate within the organization.
Job Description
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
Required qualifications, capabilities, and skills
About Us
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
About the Team
J.P. Morgan Asset & Wealth Management delivers industry-leading investment management and private banking solutions. Asset Management provides individuals, advisors and institutions with strategies and expertise that span the full spectrum of asset classes through our global network of investment professionals. Wealth Management helps individuals, families and foundations take a more intentional approach to their wealth or finances to better define, focus and realize their goals.
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
- Formal training or certification on Machine Learning concepts and 10+ years applied experience. In addition, 5+ years of experience leading technologists to manage, anticipate and solve complex technical items within your domain of expertise
- Demonstrated management skills in leading data scientists
- MA/MBA or PhD/ScD in quantitative discipline relating to data science or statistics
- Expertise with modern AI/ML algorithms, techniques, software, and their practical application to build enterprise scale solutions
- Practical experience with statistical data analysis and experimental design
- Practical software development experience in collaborative project settings, including rapid prototyping and disciplined software development processes
- Leadership and executive presence - demonstrated credibility as a thought leader and influencer
- Strong project management skills - track record of driving execution and delivery
- Excellent communications skills - can concisely, clearly, and accurately share ideas
About Us
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
About the Team
J.P. Morgan Asset & Wealth Management delivers industry-leading investment management and private banking solutions. Asset Management provides individuals, advisors and institutions with strategies and expertise that span the full spectrum of asset classes through our global network of investment professionals. Wealth Management helps individuals, families and foundations take a more intentional approach to their wealth or finances to better define, focus and realize their goals.
Top Skills
AI
Genai
Large Language Models
Machine Learning
Software Development
Statistical Data Analysis
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