Join the Payments and Global Banking Technology team as a Vice President and Engineer for Applied AI/ML. This is a hands-on, code-every-day role focused on application-layer engineering—using large language models as components within scalable systems that solve real business problems in banking and financial services. You will work within a team of engineers under the guidance of senior technical leaders, delivering high-quality features and systems end-to-end while developing your expertise in generative AI application development.
As a Vice President – Applied AI/ML Lead in Payments and Global Banking Technology, you design and build production search, conversational AI, and agentic workflow systems powered by generative AI. You deliver high-quality features and systems end-to-end within established architectural frameworks. You collaborate with senior technical leaders and cross-functional partners to translate requirements into scalable implementations. You contribute to engineering quality through strong implementation practices and peer review.
This role emphasizes practical application-layer engineering, including retrieval pipelines, conversational experiences, and workflow automation patterns, with a focus on reliability, performance, and maintainability in non-deterministic AI systems.
Job responsibilities:
- Implement and iterate on production search, chatbot, and agentic workflow features, writing and reviewing code daily.
- Build retrieval pipelines (hybrid search, re-ranking, chunking, and embedding strategies) and integrate them into conversational AI systems with dialogue management and backend services.
- Implement components of agentic workflows (tool use, orchestration, error recovery, and human-in-the-loop patterns) within established architectural frameworks.
- Troubleshoot and resolve systems issues related to latency, reliability, and observability in non-deterministic AI systems.
- Follow and contribute to team technical standards, design patterns, and best practices for generative AI-powered applications.
- Participate in design reviews and code reviews to maintain engineering quality.
- Collaborate with product and business stakeholders to understand requirements and deliver technical solutions.
Required qualifications, capabilities, and skills:
- 6+ years of hands-on software engineering experience building production systems at scale, with exposure to search, conversational AI, or workflow automation.
- Proficiency in Python, application programming interface (API) design, and microservices architecture.
- Working understanding of large language model (LLM) capabilities and limitations, including prompt engineering, context management, and output parsing, and practical use of models as components.
- Experience with at least one of the following: retrieval systems, conversational AI, or agentic architectures (tool calling, planning, and orchestration).
- Awareness of systems-level concerns, including latency, throughput, cost efficiency, and graceful degradation.
- Experience with Amazon Web Services (AWS) cloud services for production applications.
- Strong communication and collaboration skills across technical and non-technical audiences.
Preferred qualifications, capabilities, and skills:
- Experience building evaluation and testing frameworks for LLM-powered applications.
- Familiarity with retrieval-augmented generation (RAG) patterns, including query decomposition, multi-index routing, and contextual compression.
- Exposure to agent orchestration, including parallel tool execution, stateful workflows, and cost/token management.
- Experience working in regulated environments with awareness of model governance and explainability requirements.
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
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
- 6+ years of hands-on software engineering experience building production systems at scale, with exposure to search, conversational AI, or workflow automation
- Proficiency in Python, API design, and microservices architecture
- Working understanding of large language model capabilities and limitations, including prompt engineering, context management, and output parsing
- Experience with retrieval systems, conversational AI, or agentic architectures such as tool calling, planning, and orchestration
- Awareness of latency, throughput, cost efficiency, and graceful degradation concerns
- Experience with AWS cloud services for production applications
- Strong communication and collaboration skills across technical and non-technical audiences
- Experience building evaluation and testing frameworks for LLM-powered applications
- Familiarity with RAG patterns, including query decomposition, multi-index routing, and contextual compression
- Exposure to agent orchestration, including parallel tool execution, stateful workflows, and cost/token management
- Experience working in regulated environments with awareness of model governance and explainability requirements
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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