Shape how modern payments teams find information, serve clients, and automate work using advanced language-model solutions. Join a high-impact engineering team where you will build production services that combine search, conversation, and workflow automation at enterprise scale. Grow your career through exposure to modern cloud platforms, disciplined engineering practices, and meaningful collaboration with product and business partners.
As a Applied AI ML lead at JPMorgan Chase within the Payments and Global Banking Technology organization, you will design and build production search, conversational assistants, and automated workflow systems powered by generative artificial intelligence. You will deliver features and systems end-to-end, from technical design through implementation, testing, and production support, with a focus on reliability and performance. You will build retrieval pipelines and integrate them into conversational experiences with dialogue management and backend services. You will implement components of automated workflows, including tool use, orchestration, error recovery, and human-in-the-loop patterns, within established architectural frameworks. You will work within a team of engineers under the guidance of senior technical leaders while developing deeper expertise in language-model application development.
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, 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 GenAI-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.
- 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 LLM capabilities and limitations—prompt engineering, context management, output parsing—and practical use of models as components.
- Experience with at least one of: retrieval systems, conversational AI, or agentic architectures (tool calling, planning, orchestration).
- Awareness of systems-level concerns—latency, throughput, cost efficiency, and graceful degradation.
- 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 (query decomposition, multi-index routing, contextual compression).
- Exposure to agent orchestration—parallel tool execution, stateful workflows, and cost/token management.
- Experience working in regulated environments with awareness of model governance and explainability requirements.
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
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.
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 LLM 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, or 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 such as query decomposition, multi-index routing, and contextual compression.
- Exposure to agent orchestration, including parallel tool execution, stateful workflows, and cost or 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 — Health coverage is considered comprehensive, including medical, dental, and vision, alongside wellness and mental health resources. Some locations add onsite health centers and related wellbeing support.
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Retirement Support — Retirement offerings include a 401(k)-type savings plan and related financial benefits, with options such as employee stock purchase participation. Financial planning resources are also highlighted to support long-term savings.
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Parental & Family Support — Paid parental leave of 16 weeks for birth or adoption is available for all parents. Child care and back-up child care resources further reinforce family support.
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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