Associate - Data Science / Applied AI ML
JPMorgan ChaseResponsibilities
- Develop AI-powered applications using LLMs, Generative AI, Agentic AI, and advanced analytics.
- Build AI agents that interact with enterprise tools, data sources, APIs, and business workflows.
- Develop orchestration workflows using LangGraph, Semantic Kernel, LangChain, or similar technologies.
- Implement MCP integrations to connect AI applications with enterprise systems, knowledge sources, and services.
- Build and support RAG, GraphRAG, and Knowledge Graph solutions.
- Develop scalable Python applications, APIs, and services for AI and analytics use cases.
- Integrate enterprise LLM platforms and Generative AI services into business workflows.
- 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 gather requirements and deliver solutions.
- Contribute to reusable frameworks, engineering standards, testing practices, and AI governance requirements.
Requirements
- Bachelor's or master's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related quantitative discipline.
- At least 5 years of experience developing software, automation, analytics, or AI solutions.
- Strong programming skills in Python and SQL.
- Experience with LLMs, Generative AI platforms, prompt engineering, and AI application development.
- Experience with orchestration frameworks such as LangGraph, LangChain, or similar technologies.
- Understanding of Agentic AI, tool calling, workflow automation, memory management, and multi-step reasoning.
- Experience implementing MCP integrations or similar enterprise integration patterns.
- Familiarity with RAG, embeddings, vector databases, semantic search, and knowledge retrieval techniques.
- Experience with REST APIs, JSON, and enterprise system integrations.
- Strong problem-solving, analytical, and communication skills, with the ability to work independently and collaboratively.
- Preferred experience with Neo4j, Knowledge Graphs, GraphRAG architectures, AI observability, evaluation frameworks, LLM testing, cloud-based AI platforms, enterprise AI ecosystems, compliance, risk management, financial services, AI copilots, assistants, workflow automation, or multi-agent systems.
Categories
About JPMorgan Chase
With a history tracing its roots to 1799 in New York City, JPMorganChase is one of the world's oldest, largest, and best-known financial institutions—carrying forth the innovative spirit of our heritage firms in global operations across 100 markets. We serve millions of customers and many of the world’s most prominent corporate, institutional, and government clients daily, managing assets and investments, offering business advice and strategies, and providing innovative banking solutions and services. Social Media Terms and Conditions: https://bit.ly/JPMCSocialTerms JPMorgan Chase & Co. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.