Software Engineer III - Data Engineer​/Applied AI; LLMs

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.

As a Data Engineering & Applied AI Software Engineer III at JPMorgan

Chase within the Asset & Wealth Management, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

• Executes standard software solution, design, development, and technical troubleshooting
  Writes secure and high-quality code using the syntax of at least one programming language with limited guidance
• Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards.
• Designs, develops, codes, and troubleshoots with consideration of upstream and downstream systems and technical implications
• Hands on design and development of agentic production data platform with full stack application ownership.
• AI first mindset in developing code using Claude Code, building agents to make application/platform autonomous.
• Develop AI skills, agents, MCP server in support of product capabilities to deliver business value
• 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
• Applies technical troubleshooting to breakdown solutions and solve technical problems of basic complexity
• Gathers, analyzes, and draws conclusions from large, diverse data sets to identify problems and contribute to decision‑making in service of secure, stable application development
• Learns and applies system processes, methodologies, and skills for the development of secure, stable code and systems

• Formal training or certification on software engineering concepts and 3+ years applied experience
• Hands‑on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, testing, troubleshooting, or documentation) with demonstrated ability to critically evaluate and validate AI-generated outputs.
• Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations.
• Frontend:
  React or Angular with Type Script.
• Backend:
  Python, Java, or Kotlin with REST or GraphQL.
• Data Engineering/Platform:
  Spark, Kafka, Airflow, Snowflake, and AWS.
• Platform engineering: containers, CI/CD, observability, and controlled release practices.
• Applied AI with LLMs:
  Claude Code, Agent, Skills, RAG, embeddings, prompt or configuration management, evaluation and guardrails, and agent tool or function calling

• Preferred financial services or Wealth Management experience, data governance or data management domain expertise, and experience evaluating and enterprise‑hardening open‑source software
• Bachelor’s degree required. Advanced degree is a plus