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

JPMorgan Chase & Co.; Plano (TX); On-site; USD 140,000 - 190,000; Full time

Job summary

JPMorgan Chase & Co. in Plano, Texas, seeks a Data Engineering & Applied AI Software Engineer III to join an agile team delivering trusted technology products in a secure, scalable environment.

You will contribute as a core technical member across multiple domains to build and enhance production data platforms and autonomous capabilities. The role emphasizes secure coding, AI-assisted development, and an AI-first mindset using Claude Code and agent-based approaches to enable smarter, resilient

Qualifications

• Formal training or certification in software engineering concepts with 3+ years applied experience.
• Hands-on experience using enterprise AI-assisted development tools and evaluating AI outputs.
• Understanding of responsible AI use, data sensitivity, secure handling of inputs/outputs.
• Frontend: React/Angular with TypeScript.
• Backend: Python, Java, or Kotlin with REST or GraphQL.
• Data engineering: Spark, Kafka, Airflow, Snowflake, AWS.
• Platform: containers, CI/CD, observability, controlled release.
• Applied AI with LLMs: Claude Code, agents, RAG, embeddings, prompts.

Responsibilities

• Executes standard software solution design, development, and troubleshooting.
• Writes secure and high-quality code with minimal guidance.
• Leverages AI coding assist tools to improve code quality, delivery speed, and productivity.
• Designs, develops, and troubleshoots with consideration of upstream and downstream systems.
• Hands-on design of production data platform with full stack ownership.
• AI-first mindset in developing code using Claude Code and agents.
• Applies SDLC toolchain and enterprise AI-assisted development for automation.
• Applies technical troubleshooting to break down solutions and solve basic problems.
• Gathers, analyzes, and draws conclusions from large, diverse data sets for secure, stable development.
• Learns and applies system processes for secure, stable code and systems.

Skills

React/Angular

TypeScript

Python

Java

Kotlin

REST/GraphQL

Education

Bachelor's degree

Advanced degree

Tools

Spark

Kafka

Airflow

Snowflake

AWS

Job description

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 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 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 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