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 a Applied AI Machine Learning Director at JPMorganChase within the Applied AI Research team in the Commercial & Investment Bank, you will lead the design and delivery of agent-based and generative artificial intelligence solutions that transform complex operations. You will bridge state-of-the-art research and enterprise-grade engineering to build systems that are safe, reliable, and scalable. You will partner across product, engineering, and business teams to prioritize high-impact problems and deliver outcomes. You will also raise the technical bar through mentorship, technical leadership, and strong scientific rigor.
Job responsibilities
- Architect end-to-end agent-based and generative artificial intelligence solutions to automate complex operational workflows
- Translate ambiguous business problems into research hypotheses, measurable success metrics, and production-ready designs
- Build and ship multiple collaborating agents that coordinate planning and execution across large, multi-step processes
- Design reusable services, libraries, and evaluation frameworks that accelerate adoption across artificial intelligence and engineering teams
- Establish robust experimentation practices, including offline/online evaluation, monitoring, and iterative improvement loops
- Partner with stakeholders across teams to identify priority use cases, define roadmaps, and deliver scalable capabilities
- Ensure solutions meet enterprise expectations for reliability, security, and long-term maintainability in production
- Mentor and coach engineers and researchers through design reviews, technical guidance, and knowledge sharing
Required qualifications, capabilities and skills
- Formal training or certification on applied artificial intelligence and machine learning concepts and 10+ years applied experience
- Advanced degree (master’s or doctorate) in computer science, engineering, statistics, or a related quantitative discipline, or equivalent practical experience
- Demonstrated experience deploying machine learning and/or generative artificial intelligence systems into production at enterprise scale
- Strong foundation in machine learning fundamentals, experimental design, and data-driven decision-making
- Experience designing distributed systems for model training, inference, and stateful services in production environments
- Proven ability to create evaluation strategies for agent-based systems (quality, safety, latency, cost, and reliability), and improve them over time
- Strong programming and engineering skills with a track record of building maintainable, reusable components used by other teams
- Demonstrated ability to lead through influence in cross-functional environments and drive alignment across technical and non-technical stakeholders
Preferred qualifications, capabilities and skills
- Experience deploying and operating machine learning workloads on Amazon Web Services (for example, Amazon SageMaker or Amazon Bedrock)
- Publication history, open-source contributions, or demonstrated applied research impact in areas such as large language models, reinforcement learning, or autonomous agents
- Experience with containerized and cloud-native deployment patterns (for example, Kubernetes-based platforms)
- Familiarity with governance and risk considerations for artificial intelligence systems, including privacy, model safety, and responsible use
- Domain experience applying advanced analytics or artificial intelligence to large-scale operational processes in financial services or other regulated industries
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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 artificial intelligence and machine learning concepts
- 10+ years of applied experience
- Master's or doctorate in computer science, engineering, statistics, or a related quantitative discipline, or equivalent practical experience
- Experience deploying machine learning or generative artificial intelligence systems into production at enterprise scale
- Strong foundation in machine learning fundamentals, experimental design, and data-driven decision-making
- Experience designing distributed systems for model training, inference, and stateful production services
- Experience creating evaluation strategies for agent-based systems and improving quality, safety, latency, cost, and reliability
- Strong programming and engineering skills with experience building maintainable, reusable components used by other teams
- Ability to lead through influence and align technical and non-technical stakeholders
- Experience deploying and operating machine learning workloads on Amazon Web Services, such as Amazon SageMaker or Amazon Bedrock
- Publication history, open-source contributions, or applied research impact in large language models, reinforcement learning, or autonomous agents
- Experience with containerized and cloud-native deployment patterns, such as Kubernetes-based platforms
- Familiarity with artificial intelligence governance and risk considerations, including privacy, model safety, and responsible use
- Domain experience applying advanced analytics or artificial intelligence to large-scale operational processes in financial services or regulated industries
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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