Software Engineer II - Data Engineer/Applied AI (LLMs)

You’re ready to gain the skills and experience needed to grow within your role and advance your career — and we have the perfect software engineering opportunity for you.

As a Data Engineering & Applied AI Software Engineer II at JPMorganChase 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.

Job responsibilities

• 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

Required qualifications, capabilities, and skills:

• Formal training or certification on software engineering concepts and 2+ 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 TypeScript.

• 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 qualifications, capabilities, and skills:

• 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