Software Engineer III - Applied AI/ML Engineer

JPMorgan Chase & Co.; Jersey City (NJ); On-site; USD 120,000 - 150,000; Full time

Job summary

JPMorgan Chase & Co. is seeking a Software Engineer III in the Asset & Wealth Management team to design and deliver trusted market-leading technology products in a secure, scalable way.

You will be a seasoned member of an agile team, building production-ready code and contributing to architecture and data visualizations to support business objectives. You will leverage AI coding assist tools, develop solutions across multiple technical areas, ensure secure coding standards, and help improve

Qualifications

• Formal training or certification on software engineering concepts is required.
• Hands-on experience in system design, application development, testing, and operational stability.
• Experience in developing, debugging, and maintaining production-quality code in a large corporate environment.

Responsibilities

• Executes software solutions, design, development, and troubleshooting with non-routine approaches.
• Creates secure, high-quality production code and maintains production algorithms.
• Uses enterprise AI coding assist tools to improve code quality, speed, and productivity with peer review and secure coding standards.
• Applies SDLC tools and AI-assisted development to improve automation value.
• Produces architecture and design artifacts for complex applications and ensures constraints are met.

Skills

Python

AI/ML engineering

Data science

CI/CD

Agile

Secure coding

Problem solving

Education

Software engineering certification

Tools

Claude Code

OpenAI tools

AWS

Job description

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.

As a Software Engineer III at JPMorganChase within the Asset & Wealth Management team, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

Job responsibilities

• Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build agentic solutions or breakdown technical problems
• Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems
• Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards; contributes learnings and reusable patterns to improve broader team effectiveness.
• 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.
• Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development
• Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems
• Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 3+ years applied experience in applied AI/ML engineering
• Hands-on practical experience in system design, application development, testing, and operational stability
• Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
• Strong programming skills in Python, expertise in using AI code assist tools such as Claude Code, OpenAI and with experience in developing and maintaining production-level code
• Proficiency in working with large datasets and data science
• Solid understanding of AI/ML algorithms and techniques, AI agent usage, and overall natural language processing.
• Experience with cloud platforms, such as AWS for deploying and scaling AI/ML models.
• Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, test creation, troubleshooting, or documentation) with demonstrated ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security.
• Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; ability to guide peers on safe and effective usage within team practices.
• Overall knowledge of the Software Development Life Cycle
• Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security

Preferred qualifications, capabilities, and skills

• Familiarity with modern front-end technologies
• Exposure to cloud technologies