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

JPMorgan Chase & Co.•Plano, TX

About The Position

As a Data Engineering & Applied AI Software Engineer II within JPMorganChase’s Asset & Wealth Management division, you will contribute to an agile team that builds, enhances, and delivers secure, stable, and scalable technology products. You will develop technology solutions across multiple technical areas in support of business objectives, with ownership spanning a production data platform and full-stack applications. The role emphasizes data engineering and applied AI, including developing AI skills, agents, and MCP servers to support product capabilities and business value. You will use enterprise-authorized AI coding tools, including Claude Code, to improve engineering workflows and help build autonomous applications and platforms. AI-generated outputs must be validated through peer review, automated testing, secure coding practices, and responsible handling of sensitive data. JPMorganChase describes its Asset & Wealth Management technology environment as cloud-native, data-centric, and focused on continuous learning and developing solutions that help the businesses grow and serve clients.

Requirements

Formal training or certification in software engineering concepts and at least 2 years of applied experience.
Hands-on experience with enterprise-authorized AI-assisted software development tools for activities such as coding, testing, troubleshooting, or documentation, and ability to critically evaluate and validate AI-generated outputs.
Understanding of responsible AI use in engineering workflows, including data sensitivity, secure handling of inputs and outputs, and resiliency and security expectations.
Frontend experience with React or Angular and TypeScript.
Backend experience with Python, Java, or Kotlin and REST or GraphQL.
Data engineering or platform experience with Spark, Kafka, Airflow, Snowflake, and AWS.
Platform engineering experience with containers, CI/CD, observability, and controlled release practices.
Applied AI and LLM experience with Claude Code, agents, skills, RAG, embeddings, prompt or configuration management, evaluation and guardrails, and agent tool or function calling.
Bachelor’s degree required.

Nice To Haves

Financial services or Wealth Management experience.
Data governance or data management domain expertise.
Experience evaluating and enterprise-hardening open-source software.
Advanced degree.

Responsibilities

Execute standard software solution design, development, and technical troubleshooting.
Write secure, high-quality code in at least one programming language with limited guidance.
Use enterprise-authorized AI coding-assistance tools to improve code quality, delivery speed, and productivity, validating outputs through peer review, automated testing, and secure coding standards.
Design, develop, code, and troubleshoot while considering upstream and downstream systems and technical implications.
Design and develop an agentic production data platform, with full-stack application ownership.
Use an AI-first approach to software development, including Claude Code and agents that make applications and platforms more autonomous.
Develop AI skills, agents, and MCP servers to support product capabilities and deliver business value.
Apply software development lifecycle toolchain knowledge, including authorized AI-assisted development and automation capabilities, to improve the value of automation.
Break down solutions and solve technical problems of basic complexity through technical troubleshooting.
Gather, analyze, and draw conclusions from large, diverse data sets to identify problems and support decision-making for secure, stable application development.
Learn and apply system processes, methodologies, and skills to develop secure, stable code and systems.

Benefits

Competitive total rewards package, including base salary; eligible roles may also receive commission-based pay and/or discretionary incentive compensation in cash and/or forfeitable equity.
Comprehensive health care coverage.
On-site health and wellness centers.
Retirement savings plan.
Backup childcare.
Tuition reimbursement.
Mental health support.
Financial coaching.
Reasonable accommodations for religious practices and beliefs, and mental health or physical disability needs.

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