Our goal is to build the next generation of AI: autonomous agents that can reason, plan, act, and learn to solve critical problems for an industry leading financial institution. We are looking for architects who will define the future of banking through Agentic AI. The Applied Artificial Intelligence and Machine Learning team in Commercial and Investment Banking is transforming operations by leveraging the latest advancements in agentic AI and frontier models.
As an Applied Artificial Intelligence and Machine Learning Lead at JPMorganChase within the Applied AI Research team in Commercial and Investment Banking, you will help build autonomous agent systems that can reason, plan, act, and learn to solve high-impact business problems. You will bridge cutting-edge research and enterprise-grade delivery, shaping how applied AI is designed, evaluated, and deployed at scale. You will partner closely with business and technology stakeholders to translate priority needs into measurable outcomes, while raising engineering and scientific standards across the team.
Job Responsibilities
- Architect and deliver generative artificial intelligence and agent-based solutions that automate complex operational workflows end-to-end
- Translate priority business problems into research and engineering plans, success metrics, and scalable solution designs
- Build multi-agent systems that collaborate reliably, coordinate tasks, and improve over time through feedback and evaluation
- Design reusable services, libraries, and reference architectures that accelerate adoption across applied AI teams
- Establish rigorous experimentation practices, including offline/online evaluation, ablation testing, and error analysis, to drive measurable improvements
- Mentor and develop applied AI engineers and researchers, fostering a culture of scientific rigor, ownership, and continuous learning
- Partner with stakeholders across business and technology teams to scale solutions responsibly, balancing performance, reliability, and security
- Formal training or certification on applied artificial intelligence and machine learning concepts and 5+ years applied experience
- Advanced degree (Master’s or Doctorate) in Computer Science, Machine Learning, Statistics, or a related quantitative field
- Demonstrated experience designing experiments and evaluations for machine learning systems, including clear metrics and reproducible results
- Proven track record deploying machine learning applications into production environments with operational excellence (monitoring, reliability, and lifecycle management)
- Strong software engineering skills in modern programming languages and machine learning frameworks, with experience building reusable components
- Experience with distributed computing patterns for training and serving, and with state management for agent workflows
- Ability to lead through influence across cross-functional teams, translating complex technical topics for varied audiences
- Experience building and evaluating autonomous agent systems (planning, tool-use, orchestration, and multi-agent coordination)
- Experience with cloud-based machine learning platforms, such as Amazon Web Services (AWS) SageMaker or Amazon Bedrock
- Publications, open-source contributions, or other evidence of applied research impact in machine learning or generative artificial intelligence
- Familiarity with financial services domains and operational processes, including risk-aware design and production constraints
FEDERAL DEPOSIT INSURANCE ACT: This position is subject to Section 19 of the Federal Deposit Insurance Act. As such, an employment offer for this position is contingent on JPMorganChase’s review of criminal conviction history, including pretrial diversions or program entries.
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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
- Advanced degree (Master's or Doctorate) in Computer Science, Machine Learning, Statistics, or related quantitative field
- Experience designing experiments and evaluations for ML systems with clear metrics and reproducible results
- Proven track record deploying ML applications into production with monitoring, reliability, and lifecycle management
- Strong software engineering skills in modern programming languages and machine learning frameworks, building reusable components
- Experience with distributed computing patterns for training and serving and state management for agent workflows
- Ability to lead through influence across cross-functional teams and translate complex technical topics
- Experience building and evaluating autonomous agent systems (planning, tool-use, orchestration, multi-agent coordination)
- Experience with cloud-based ML platforms such as AWS SageMaker or Amazon Bedrock
- Publications, open-source contributions, or other evidence of applied research impact in ML or generative AI
- Familiarity with financial services domains and operational processes, including risk-aware design and production constraints
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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