Bring your expertise in applied artificial intelligence and machine learning to a team improving how Markets Operations runs at scale. You will partner across operations, product, engineering, and data to deliver production-grade solutions with measurable impact. In a collaborative environment, you will shape strategy, mentor talent, and build durable capabilities designed for reliability, control, and real-world adoption.
As an Applied Artificial Intelligence and Machine Learning Lead at JPMorganChase within Markets Operations in the Commercial & Investment Bank, you will drive the strategy, design, and delivery of solutions that improve operational efficiency, resilience, and control outcomes. You will lead a team of scientists and engineers and collaborate with senior stakeholders to prioritize high-impact opportunities and deliver solutions that scale. You will set technical direction, strengthen engineering and governance practices, and translate complex concepts into clear, outcome-focused results.
Job Responsibilities:
Lead the end-to-end delivery of machine learning and generative AI solutions that measurably improve Markets Operations outcomes
Set technical direction and execution strategy across model development, deployment, and adoption aligned to business priorities
Oversee the architecture and production deployment of AI applications, including agent-based and workflow-automation solutions
Manage, coach, and develop a team of scientists and engineers, fostering a collaborative and inclusive culture of continuous learning
Establish and enforce best practices for model monitoring, evaluation, and performance optimization in production environments
Partner with business, operations, and technology leaders to shape problem statements, success metrics, and delivery roadmaps
Guide analysis of large, complex datasets to identify drivers, risks, and automation opportunities
Ensure solutions are engineered for reliability, scalability, and maintainability, with strong operational readiness
Communicate technical approaches, decisions, and results through clear documentation and cross-functional forums
Required Qualifications, Capabilities, and Skills:
- Formal training or certification on applied artificial intelligence and machine learning concepts and 5+ years applied experience
- Bachelor’s or Master’s degree in computer science, data science, artificial intelligence, or a related field (or equivalent experience)
- Demonstrated leadership delivering AI/ML initiatives from concept through production, including team and stakeholder management
- Strong applied experience in machine learning, including feature engineering, model development, and statistical analysis on large datasets
- Hands-on proficiency in Python and common machine learning libraries (for example, scikit-learn, TensorFlow, or PyTorch)
- Proven experience deploying, operating, and maintaining production machine learning systems, including incident and performance ownership
- Working knowledge of machine learning operations practices (machine learning lifecycle management, automation, and reproducibility)
- Experience building and deploying generative AI applications and evaluating large language model outputs for quality and risk
- Strong communication skills, including the ability to translate technical concepts for senior stakeholders and non-technical partners
Preferred Qualifications, Capabilities, and Skills:
- Doctorate in a quantitative field or equivalent advanced applied research experience
- Experience delivering AI/ML solutions in financial services, capital markets, or operations-focused environments
- Experience working in highly regulated environments with strong model risk, governance, or control expectations
- Experience designing scalable system architectures for AI products and platforms across multiple stakeholder groups
#CIBAppliedAI
About UsWe 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.
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
Skills Required
- Formal training or certification in applied AI/ML and 5+ years applied experience
- Bachelor's or Master's degree in computer science, data science, AI, or related field (or equivalent experience)
- Demonstrated leadership delivering AI/ML initiatives from concept through production, including team and stakeholder management
- Strong applied experience in machine learning, including feature engineering, model development, and statistical analysis on large datasets
- Hands-on proficiency in Python and common machine learning libraries (scikit-learn, TensorFlow, or PyTorch)
- Proven experience deploying, operating, and maintaining production machine learning systems, including incident and performance ownership
- Working knowledge of machine learning operations practices (lifecycle management, automation, reproducibility)
- Experience building and deploying generative AI applications and evaluating large language model outputs for quality and risk
- Strong communication skills and ability to translate technical concepts for senior and non-technical stakeholders
- Doctorate in a quantitative field or equivalent advanced applied research experience
- Experience delivering AI/ML solutions in financial services, capital markets, or operations-focused environments
- Experience working in highly regulated environments with strong model risk, governance, or control expectations
- Experience designing scalable system architectures for AI products and platforms
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 comprehensive, with on-site clinics, preventive care, and specialized supports such as maternity nurse guidance and fertility treatments. Wellness activities can help offset copays and out-of-pocket costs, reinforcing the perceived strength of health benefits.
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Retirement Support — A 401(k) with dollar-for-dollar matching and additional automatic pay credits reflect strong employer-backed retirement savings. An employee stock purchase plan and related financial programs further bolster long-term financial support.
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Leave & Time Off Breadth — Paid time off, sick time, holidays, and generous parental leave are provided alongside family medical leave and adoption/fertility assistance. Additional programs like caregiver support and volunteer time off expand the breadth of time-away options.
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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