Lead Software Engineer-AI

About the role

As a Senior Software Engineer – AI, you will build and ship production-grade, multi-agent AI systems used daily by thousands of engineers. You'll work on an applied AI platform that automates key stages of the software delivery pipeline—from PRD through architecture, implementation, QA, security, and retrospective—at enterprise scale. You will own agent capabilities end-to-end, with a focus on reliability, evaluation, observability, and cost-per-session. This is not a research or data science role—you will engineer production systems that consistently follow specifications.

Responsibilities

• Develop complex and scalable frameworks using appropriate software design, including durable and reusable frameworks leveraged across teams and functions.
• Develop secure and high-quality production code, and review and debug code written by others; engineer systems with clear failure modes, retry strategies, and robust operational behavior.
• Lead cross-functional teams on technological matters within your domain of expertise while acting as the function's go-to subject matter expert.
• Contribute to the development of technical methods in specialized fields in line with the latest product development methodologies, including pragmatic AI engineering practices.
• Build and maintain evaluation and quality mechanisms to detect regressions, measure specification/acceptance-criteria compliance, and surface behavior changes across model or dependency updates.
• Influence leaders and senior stakeholders across business, product, and technology teams.

Requirements

• Formal training or certification on software engineering concepts and 7+ years of applied experience.
• Hands-on practical experience delivering system design, application development, testing, and operational stability.
• Proficiency in one or more programming languages (e.g., Python and/or TypeScript; able to build CLI tooling, API integrations, and data pipelines).
• Experience applying expertise and new methods to determine solutions for complex technology problems in one or more technical disciplines (including designing multi-step AI workflows: sequential chains, parallel fan-out, conditional routing, and human-in-the-loop checkpoints).
• Knowledge of software application development and technical processes with considerable in-depth knowledge in one or more technical disciplines (e.g., cloud, artificial intelligence / applied LLM systems, machine learning, mobile, etc.).
• Experience with agent frameworks (e.g., LangChain, LlamaIndex, AutoGen, CrewAI, or homegrown) and clear opinions on their tradeoffs.
• Demonstrated experience building systems on top of LLM APIs (endpoint integration, streaming, tool/function calling, and context management).
• Ability to present and effectively communicate with Senior Leaders and Executives.
• Understanding of the business including familiarity with JPMC enterprise stack: Cloud Foundry, GKP, Jules CI/CD, TrueCD, Sophia auth.
• Practical cloud-native experience.

Benefits

• Comprehensive health care coverage.
• On-site health and wellness centers.
• Retirement savings plan.
• Backup childcare.
• Tuition reimbursement.
• Mental health support.
• Financial coaching.

Additional details about total compensation and benefits will be provided during the hiring process.

About the team

Our Consumer & Community Banking division serves Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans, and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions—all while ranking first in customer satisfaction.