Lead Software Engineer - Agentic Data Quality Platform

JPMorgan Chase & Co.•Plano, TX

About The Position

As a Lead Software Engineer in JPMorganChase’s Asset & Wealth Management division, you will contribute to an agile team building and enhancing secure, stable, scalable technology products. You will develop an agentic production data platform and take full-stack application ownership, applying software engineering expertise across multiple technical areas to support business objectives. The role emphasizes an AI-first approach to software development, including using Claude Code and building agents, skills, and MCP servers to make applications and platforms more autonomous. You will use enterprise-authorized AI-assisted development tools responsibly, critically validate AI-generated outputs, and apply secure coding, testing, peer review, and release practices. The team works in a cloud-native, data-centric environment and values continuous learning.

Requirements

Formal training or certification in software engineering concepts and at least 5 years of applied experience.
Hands-on experience using enterprise-authorized AI-assisted software development tools for coding, testing, troubleshooting, or documentation, with the 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 experience with LLMs, including 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 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 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 develop code with Claude Code and build agents that make applications and platforms more autonomous.
Develop AI skills, agents, and MCP servers to support product capabilities and deliver business value.
Apply knowledge of SDLC tools, including authorized AI-assisted development and automation, to improve the value realized through automation.
Break down solutions and solve technical problems of basic complexity through technical troubleshooting.
Analyze large and diverse data sets to identify problems and contribute to decisions supporting secure and stable applications.
Learn and apply system processes, methodologies, and skills to develop secure, stable code and systems.

Benefits

Competitive total rewards package, including base salary determined by role, experience, skill set, and location.
Eligible roles may 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.

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