Job summary:
As a Vice President – Data Science/Applied AI ML, you will design, build, and deploy next-generation AI solutions for complex compliance and risk management challenges. The ideal candidate combines deep technical expertise in LLMs, GenAI, AI orchestration frameworks, Agentic AI, and analytics with a passion for solving business problems. This role will partner closely with Compliance, Technology, Data, and Product teams to rapidly prototype ideas, develop production-ready solutions, and drive the adoption of AI capabilities across the organization.
Job Responsibilities:
- Design, develop, and deploy AI-powered solutions leveraging LLMs, Generative AI, Agentic AI, and advanced analytics.
- Build proof-of-concepts and rapidly prototype new AI capabilities to validate business value and technical feasibility.
- Develop AI agent workflows and orchestration frameworks that integrate models, tools, APIs, and enterprise data sources.
- Design and implement MCP-based (Model Context Protocol) integrations to enable secure, scalable access to enterprise data, tools, and business processes.
- Design and implement Retrieval-Augmented Generation (RAG), GraphRAG, and Knowledge Graph solutions to improve the accuracy and explainability of AI outputs.
- Integrate enterprise LLM platforms and GenAI services into analytical and operational workflows.
- Perform data exploration, experimentation, model evaluation, and performance optimization across structured and unstructured datasets.
- Develop scalable Python-based applications, services, and APIs supporting AI and analytics use cases.
- Create user-interfaces, analytical applications, and self-service solutions that transform AI outputs into actionable insights.
- Collaborate with Compliance, Technology, and Business stakeholders to understand requirements and deliver impactful solutions.
- Contribute to engineering standards, AI best practices, governance frameworks, and technical mentoring across the team.
Required Qualifications and Skills:
- Master's degree or PhD in Computer Science, Artificial Intelligence, Data Science, Statistics, Mathematics, Economics, or a related quantitative discipline from a top-tier university.
- 10+ years of experience in AI/ML, Advanced Analytics, or Data Science, with significant recent experience in LLMs, Generative AI, and NLP.
- Strong hands-on programming expertise in Python and SQL, including development of production-quality applications and data pipelines.
- Deep understanding of LLM architectures, transformers, prompt engineering, model evaluation, and responsible AI practices.
- Experience developing solutions using frameworks such as PyTorch, TensorFlow, Hugging Face, or equivalent AI ecosystems.
- Hands-on experience building Agentic AI solutions and AI orchestration workflows using frameworks such as LangGraph, LangChain, or equivalent platforms.
- Experience implementing Model Context Protocol (MCP) integrations and designing AI systems that securely connect to enterprise tools, data sources, APIs, and business workflows.
- Proficiency in designing, building, and querying Knowledge Graphs and graph databases such as Neo4j.
- Excellent problem-solving, communication, and collaboration skills.
- Familiarity with compliance, risk management, or regulatory processes within financial services is highly desirable.
About Us
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
- Master's degree or PhD in Computer Science, AI, Data Science, Statistics, Mathematics, Economics, or related quantitative discipline from a top-tier university
- 10+ years experience in AI/ML, Advanced Analytics, or Data Science with recent work in LLMs, Generative AI, and NLP
- Production-quality development of Python-based applications, services, and data pipelines
- Strong SQL skills for data exploration, querying, and pipeline development
- Deep understanding of LLM architectures, transformers, model evaluation, prompt engineering, and responsible AI practices
- Experience with AI frameworks and ecosystems such as PyTorch, TensorFlow, or Hugging Face
- Hands-on experience building Agentic AI solutions and orchestration using LangGraph, LangChain, or equivalent platforms
- Experience implementing Model Context Protocol (MCP) integrations to securely connect models to enterprise data, tools, and workflows
- Designing, building, and querying Knowledge Graphs and graph databases (e.g., Neo4j)
- Familiarity with compliance, risk management, or regulatory processes within financial services
- Excellent problem-solving, communication, collaboration, and technical mentoring skills
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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