Job Responsibilities
- Develop AI-powered applications leveraging LLMs, Generative AI, Agentic AI, and advanced analytics.
- Build and enhance AI agents that interact with enterprise tools, data sources, APIs, and business workflows.
- Develop orchestration workflows using frameworks such as LangGraph, Semantic Kernel, LangChain, or similar technologies.
- Implement MCP (Model Context Protocol) integrations to securely connect AI applications with enterprise systems, knowledge sources, and services.
- Build and support Retrieval-Augmented Generation (RAG), GraphRAG, and Knowledge Graph solutions.
- Develop scalable Python-based applications, APIs, and services to support AI and analytics use cases.
- Integrate enterprise LLM platforms and GenAI services into business workflows and operational processes.
- Perform data exploration, experimentation, testing, and performance optimization across structured and unstructured datasets.
- Create dashboards, reporting solutions, and user-facing applications that translate AI outputs into actionable insights.
- Collaborate with Compliance, Technology, and Business stakeholders to understand requirements and deliver high-quality solutions.
- Contribute to reusable frameworks, engineering standards, testing practices, and AI governance requirements.
Required Qualifications and Skills
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related quantitative discipline.
- 5+ years of experience developing software, automation, analytics, or AI solutions.
- Strong programming skills in Python and SQL.
- Experience working with LLMs, Generative AI platforms, prompt engineering, and AI application development.
- Experience building solutions using orchestration frameworks such as LangGraph, LangChain or similar technologies.
- Understanding of Agentic AI concepts, tool calling, workflow automation, memory management, and multi-step reasoning.
- Experience implementing MCP (Model Context Protocol) integrations or similar enterprise integration patterns.
- Familiarity with RAG, embeddings, vector databases, semantic search, and knowledge retrieval techniques.
- Experience working with REST APIs, JSON, and enterprise system integrations.
- Strong problem-solving, analytical, and communication skills.
- Ability to work independently and collaboratively in a fast-paced environment.
Preferred Qualifications
- Experience with Neo4j, Knowledge Graphs, or GraphRAG architectures.
- Experience with AI observability, evaluation frameworks, and LLM testing methodologies.
- Experience with cloud-based AI platforms and enterprise AI ecosystems.
- Familiarity with compliance, risk management, or financial services domains.
- Experience building AI copilots, assistants, workflow automation solutions, or multi-agent systems.
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
- Bachelor's or Master's degree in Computer Science, AI, Data Science, Engineering, or related quantitative discipline
- 5+ years developing software, automation, analytics, or AI solutions
- Strong programming skills in Python
- Strong programming skills in SQL
- Experience working with LLMs, Generative AI platforms, and prompt engineering
- Experience building solutions using orchestration frameworks such as LangGraph, LangChain, or similar
- Understanding of Agentic AI concepts, tool calling, workflow automation, memory management, and multi-step reasoning
- Experience implementing MCP (Model Context Protocol) integrations or similar enterprise integration patterns
- Familiarity with RAG, embeddings, vector databases, and semantic search/knowledge retrieval techniques
- Experience working with REST APIs and JSON
- Strong problem-solving, analytical, and communication skills
- Ability to work independently and collaboratively in a fast-paced environment
- Experience with Neo4j, Knowledge Graphs, or GraphRAG architectures
- Experience with AI observability, evaluation frameworks, and LLM testing methodologies
- Experience with cloud-based AI platforms and enterprise AI ecosystems
- Familiarity with compliance, risk management, or financial services domains
- Experience building AI copilots, assistants, workflow automation solutions, or multi-agent systems
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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