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Executive Director, Machine Learning Gen AI Platforms (Home Lending)

JPMorganChase Plano, TX, US

Senior Full-time

JOB DESCRIPTION

Join a team where your ideas move from experimentation to production at enterprise scale. You'll help shape how we build, govern, and operate modern AI platforms—working with partners across product and engineering to deliver durable, secure, and high-performing capabilities that improve customer and business outcomes.

As an Executive Director at JPMorganChase within Consumer and Community Banking on the Home Lending Architecture team, you will lead innovation across machine learning platforms, Generative AI platforms, and Home Lending data platform architecture. You will work closely with product owners and software engineering teams to design end-to-end solutions, guide technical decisions, and turn prototypes into production-ready platforms. You'll also mentor other AI engineers and help build a culture of continuous learning and architecture evolution.

Job responsibilities

Own and champion architecture solutions across data platforms, machine learning platforms, and Generative AI platform capabilities
Partner with engineering teams to provide hands-on solution design support and enable reliable implementation of processes and procedures
Represent product areas in architecture governance forums, driving accountability for code-level decisions, control obligations, cost of ownership, maintainability, and operational outcomes
Evaluate current technology and lead assessments of new technologies using established standards and frameworks
Serve as a subject matter expert across a wide range of machine learning techniques and optimizations, including distributed deployment, training, and serving
Design and implement Generative AI workflows using large language models, including evaluation methods and feedback loops for model and pipeline improvement
Translate experimental results into production-ready solutions by collaborating closely with engineering teams across the delivery lifecycle
Improve accuracy, latency, and reliability by identifying bottlenecks and driving performance and scalability optimizations
Collaborate with product and engineering to deliver tailored, science- and technology-driven solutions that meet clear business needs
Influence product design and technical operating models by advocating for leading-edge technologies and practical, secure adoption patterns

Required qualifications, capabilities and skills

Formal training or certification on data architecture concepts and 10+ years of applied experience
10+ years of experience leading technologists to anticipate, manage, and solve complex technical challenges
Advanced proficiency in one or more programming languages (Python, Java, or C/C++), with intermediate Python required
Hands-on experience with system design, application development, testing, and operational stability in production environments
Advanced knowledge of software architecture and technical processes, including significant depth in cloud and machine learning technologies
Hands-on experience with machine learning techniques, including natural language processing, large language models, and deep learning frameworks (such as PyTorch or TensorFlow)
Applied experience in areas such as GPU optimization, fine-tuning, embedding models, inference optimization, prompt engineering, evaluation, and retrieval-augmented generation
Practical cloud-native experience, especially with Amazon Web Services
Experience with data engineering patterns and tools, including streaming, extract-transform-load or extract-load-transform pipelines, and analytics tooling
Ability to independently drive design and delivery from ideation through implementation
Strong communication skills and leadership presence, with the ability to partner effectively across engineering, product, and machine learning practitioners

Preferred qualifications, capabilities and skills

Experience with distributed training frameworks and experiment tracking tools (such as Ray and MLflow)
Experience with embedding-based search and ranking, recommender systems, graph-based methods, or related advanced approaches
Knowledge of reinforcement learning or meta-learning methods
Deep understanding of large language model techniques such as agentic workflows, planning, and reasoning approaches
Experience building and deploying machine learning solutions on Amazon Web Services using managed training and container orchestration services
Familiarity with modern data publishing and consumption patterns across teams and platforms
Proficiency with data architecture toolsets such as data modeling tools and cloud-based data platforms

ABOUT US

Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.

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.

Equal Opportunity Employer/Disability/Veterans

ABOUT THE TEAM

Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions – all while ranking first in customer satisfaction.

The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.

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