Join us to shape the future of AI and machine learning in financial services. You will lead innovative projects that deliver real business value, working closely with talented colleagues across Product, Engineering, Data, Risk, Compliance, and Operations. We offer opportunities for growth, hands-on technical challenges, and the chance to make a meaningful impact. Your leadership and expertise will help us deliver reliable, scalable solutions that transform how we serve our clients.
Job Summary:
As an Applied AI ML Director in the International Consumer Bank (ICB) team, you will drive the end-to-end delivery of high-impact AI and machine learning solutions. You will partner with business leaders to define valuable use cases, translate outcomes into measurable objectives, and ensure production-ready deployments. Your role combines technical depth, people leadership, and strong delivery discipline. You will help shape our Applied AI/ML strategy and foster a culture of excellence and innovation.
Job Responsibilities:
- Own end-to-end AI delivery, partnering with the business to identify use cases and deliver production solutions
- Review and contribute to solution design, modelling, experimentation, and deployment architecture
- Unblock teams on complex technical issues with hands-on support
- Build, coach, and develop a high-performing team of data scientists, business analysts, and engineers
- Establish repeatable practices for data quality, evaluation, deployment, and monitoring
- Define and deliver the Applied AI/ML strategy for priority domains
- Create reusable patterns such as reference architectures, templates, and playbooks
- Partner with product, business leads, and the AI Delivery team to prioritize and deliver work
- Ensure solutions meet governance, privacy, and security requirements
- Present technical decisions and performance results to senior stakeholders
- Document assumptions, limitations, and controls
Required Qualifications, Capabilities, and Skills:
- Proven expertise and hands-on delivery of AI/ML in financial services
- Strong technical depth in GenAI/LLMs, prompt engineering, RAG architecture, fine-tuning, vector databases
- Knowledge of evaluation metrics for LLMs and safety/guardrail techniques
- Understanding of supervised learning and data engineering fundamentals
- Leadership experience with ability to build teams and lead cross-functional delivery
- Awareness of governance and controls in a regulated environment
- Excellent communication skills to distil complex technical topics for senior stakeholders
Preferred Qualifications, Capabilities, and Skills:
- Advanced degree in Computer Science, Engineering, Statistics, or a related field
Skills Required
- Proven expertise and hands-on delivery of AI/ML in financial services
- Strong technical depth in GenAI/LLMs, prompt engineering, RAG architecture, fine-tuning, vector databases
- Knowledge of evaluation metrics for LLMs and safety/guardrail techniques
- Understanding of supervised learning and data engineering fundamentals
- Leadership experience with ability to build teams and lead cross-functional delivery
- Awareness of governance and controls in a regulated environment
- Excellent communication skills to distil complex technical topics for senior stakeholders
- Advanced degree in Computer Science, Engineering, Statistics, or a related field
JPMorganChase Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about JPMorganChase and has not been reviewed or approved by JPMorganChase.
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Healthcare Strength — Medical, dental, vision, and mental-health coverage are broad, with wellness incentives, on-site or virtual care, and an EAP offering coaching and counseling. Plan materials emphasize accessible options, including multiple medical choices and tools to manage costs.
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Parental & Family Support — Paid parental leave extends up to 16 weeks for all parents, supplemented by paid Critical Caregiver Leave. Family resources include backup childcare via Bright Horizons, lactation support and milk-shipping, family-building assistance, and even a free five-month SNOO rental for newborns.
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Retirement Support — Retirement programs include a 401(k) with an annual company match and automatic pay credits for most employees, with a legacy pension available to earlier hires. An Employee Stock Purchase Plan at a 5% discount further supports long-term savings.
JPMorganChase Insights
What We Do
JPMorgan Chase & Co. (NYSE: JPM) is a leading global financial services firm with assets of $3.7 trillion and operations worldwide. The firm is a leader in investment banking, financial services for consumers and small businesses, commercial banking, financial transaction processing, and asset management. A component of the Dow Jones Industrial Average, JPMorgan Chase & Co. serves millions of consumers in the United States and many of the world’s most prominent corporate, institutional and government clients under its J.P. Morgan and Chase brands. Technology fuels every aspect of our company and is at the heart of everything we do. With over 50,000 technologists globally and an annual tech spend of $12 billion, we are dedicated to improving the design, analytics, development, coding, testing and application programming that goes into creating high quality software and new products. Learn more about technology at our firm, explore resources from our Distinguished Engineers, AI & ML researchers, and other experts; access the latest episode of our TechTrends podcast, and more at www.jpmorgan.com/technology. Information about JPMorgan Chase & Co. is available at www.jpmorganchase.com. ©2023 JPMorgan Chase & Co. All rights reserved. JPMorgan Chase is an Equal Opportunity Employer, including Disability/Veterans.
Why Work With Us
Our technologists work on a diverse range of solutions that include strategic technology initiatives, big data, mobile, electronic payments, machine learning, cybersecurity, enterprise cloud development, and other state-of-the-art technologies.
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