Data Scientist Lead - Agentic Solutions

As the next push into this investment, JPMC is hiring the best talents to join our AI engineering team. We are executing like a startup and building the next generation technology that combines JPMC unique data and full-service advantage to develop high impact AI applications and platforms in the financial services industry. We are looking for people who are excited about the opportunity.

As a Data Scientist Lead at JPMorgan Chase, you design and deliver trusted market-leading technology products in a secure, stable, and scalable way.

• Designs and Implement LLM-driven agent services for design, code generation,

• BE/B. Tech, ME/MS or PhD degree in Computer Science, or Machine learning

related field.

• Strong hands-on skills in Python, Pydantic, FastAPI, LangGraph, and Vector

Databases for building RAG based AI agent solutions integrating with multi-agent orchestration frameworks and deploying end-to-end pipelines on AWS (EKS, Lambda, S3, Terraform)

• Experience with LLMs integration, prompt/context engineering, AI Agent

frameworks like Langchain/LangGraph, Autogen, MCPs, A2A.

• Deep knowledge in Data structures, Algorithms, Machine Learning, Data

Mining, Information Retrieval, Statistics.

• Expert in at least one of the following areas: Natural Language Processing,

Computer Vision, Speech Recognition, Reinforcement Learning, Ranking and Recommendation, or Time Series Analysis.

• Solid understanding of Cloud (AWS/ Azure/ GCP) and DevOps (CI/CD, Terraform,

• Develops orchestration and communication layers between agents using

• Integrates AI agents with toolchains such as Jira, Bitbucket, Github,

• Collaborates on system design, SDK development and data pipelines supporting

• Provides technical leadership, mentorship, and guidance to junior engineers

and team members.

• Drives adoption and governance of approved AI-assisted engineering practices

across teams to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test acceleration, release readiness, incident/root-cause analysis), while establishing measurable validation standards (secure coding, peer review, automated testing) and promoting reuse of proven patterns and automation within the SDLC/TLM toolchain.

• Applies knowledge of tools within the Software Development Life Cycle

toolchain, including approved AI-assisted development and automation capabilities, to improve the value realized by automation at scale.

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.

J.P. Morgan Asset & Wealth Management delivers industry-leading investment management and private banking solutions. Asset Management provides individuals, advisors and institutions with strategies and expertise that span the full spectrum of asset classes through our global network of investment professionals. Wealth Management helps individuals, families and foundations take a more intentional approach to their wealth or finances to better define, focus and realize their goals.