Lead Full-Stack AI Engineer — Data Platform & LLMs

JPMorgan Chase & Co.; Jersey City (NJ); On-site; USD 150,000 - 210,000; Full time

Job summary

JPMorgan Chase & Co. in Jersey City seeks a Lead Software Engineer - Python, Full Stack / AI to spearhead the build-out of an end-to-end data platform for Capital, Liquidity, Balance sheet, Funding and billing.

You will develop and enhance applications across Treasury Technology, collaborating with Treasury, Finance, Trading, Sales, and Q-R teams, driving automation with Python and AI tooling. You will promote responsible AI use, establish prompt-driven design standards, and guide enterprise AI

Qualifications

• Formal training or certification on software engineering concepts and 5+ years of applied experience.
• Strong Python skills and familiarity with agentic development (ADLC).
• Demonstrated Engineering leadership, architecture and stakeholder management skills.
• Database design and modeling on modern data platforms (Databricks, snowflake).
• Hands on experience in co-pilot or Claude-code to design and deliver end-to-end applications.
• Working understanding of multi public cloud; exposure to AWS Cloud.
• Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
• Experience in Risk and Pnl in Markets
• Understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
• Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security.
• Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations

Responsibilities

• Full Stack development of UI Dashboard in React/Typescript and servers in the python stack.
• Deliver data pipelines and ETL on data platforms such as Databricks and Snowflake
• Executes software solutions, design, development, and technical troubleshooting
• This role ensures that large language models (LLMs)—including models such as Claude, ChatGPT, and comparable enterprise-approved models—are used as controlled, well-understood components of the software engineering lifecycle.
• Lead the use of LLMs for structured requirements analysis, including translating business and regulatory requirements into clear technical specifications.
• Establish best practices for prompt-driven design and development, treating prompts as versioned, reviewable engineering artifacts.
• Ensure prompt strategies support determinism, reproducibility, and traceability in regulated environments.
• Ensure LLM-driven systems meet enterprise reliability and resilience expectations.
• The role supervises how LLM-assisted and agent-driven development is performed, ensuring that model strengths, limitations, and risk profiles are understood, documented, and appropriately applied across different classes of software work
• Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.
• Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.

Skills

Python

Agentic development (ADLC)

Engineering leadership

Databricks

Snowflake

Cloud platforms (AWS)

CI/CD

Risk & PnL in Markets

AI-assisted development tools

Secure coding & testing

Communication

Tools

Databricks

Snowflake

Job description

JPMorgan Chase & Co. in Jersey City seeks a Lead Software Engineer - Python, Full Stack / AI to spearhead the build-out of an end-to-end data platform for Capital, Liquidity, Balance sheet, Funding and billing.

You will develop and enhance applications across Treasury Technology, collaborating with Treasury, Finance, Trading, Sales, and Q-R teams, driving automation with Python and AI tooling. You will promote responsible AI use, establish prompt-driven design standards, and guide enterprise AI