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

JPMorganChase is hiring a Data Engineering & Applied AI Software Engineer II within Asset & Wealth Management. The role builds and supports secure, scalable data platforms and AI-enabled applications, including agentic production systems, while contributing to software design, development, troubleshooting, and data-driven decision-making.

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

Preferred

• Preferred financial services or Wealth Management experience, data governance or data management domain expertise, and experience evaluating and enterprise-hardening open-source software
• Advanced degree is a plus
• Financial Services Experience
• Wealth Management Experience
• Data Governance
• Data Management
• Open-Source Software Evaluation
• Enterprise Software Hardening
• Advanced Degree

Benefits

• Eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions.
• Comprehensive health care coverage
• On-site health and wellness centers
• A retirement savings plan
• Backup childcare
• Tuition reimbursement
• Mental health support
• Financial coaching

Company

• Global financial institution offering banking, asset management, and advisory services
• New York, New York, USA
• https://www.jpmorganchase.com/
• Founded in 2000
• 10001+ employees

Qualifications

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

Required skills

• AWS, Agent Tool/Function Calling, Angular, Apache Airflow, Apache Kafka, Apache Spark, CI/CD, Data Governance, Data Management, Embeddings, Financial Services, GraphQL, Java, Kotlin, LLM Evaluation and Guardrails, Prompt Management, Python, REST, React, Retrieval-Augmented Generation (RAG), Snowflake, TypeScript, Wealth Management

Preferred skills

• Advanced degree is a plus

Experience

• 2+ years