Software Engineer III - Applied AI

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 Consumer & Community Banking, 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 will build and deliver generative AI and agentic AI solutions, developing production-ready capabilities that solve complex business and technology challenges. Job responsibilities Builds and delivers generative AI and agentic AI applications end to end, from prototype through production Develops agentic workflows, including tool-using agents and multi-agent collaboration Contributes to autonomous AI capabilities with appropriate guardrails, security controls, and responsible AI practices Implements orchestration and Retrieval-Augmented Generation (RAG) pipelines and integrates AI solutions with internal systems Builds and executes model and agent evaluations to measure and maintain solution quality Processes and analyzes large datasets that support AI solutions and applications Develops components for concurrent, multi-user, and real-time applications Creates secure, high-quality production code and deploys solutions on AWS using continuous integration and continuous delivery (CI/CD) practices Leverages enterprise-authorized AI-assisted development tools to improve code quality, delivery speed, testing, troubleshooting, and documentation while validating outputs for correctness, performance, and security Works closely with business users to gather feedback and rapidly iterate on solutions Contributes to engineering communities of practice and a team culture of diversity, opportunity, inclusion, and respect Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and 3+ years of applied experience Strong Python programming skills and hands-on experience with generative AI and AI/machine learning frameworks Hands-on experience with agent frameworks such as LangGraph, Google Agent Development Kit (ADK), or similar technologies Practical experience with large language models (LLMs), prompt engineering, skill and tool development, and Retrieval-Augmented Generation (RAG) Experience with model or large language model evaluation and benchmarking Experience working with large datasets Understanding of concurrent, multi-user, and real-time application design Experience with AWS or another major cloud platform Hands-on experience using enterprise-authorized AI-assisted software development tools with demonstrated ability to critically evaluate and validate AI-generated outputs for correctness, performance, and security Understanding of responsible AI use in engineering workflows, including data sensitivity considerations and secure handling of inputs and outputs Solid understanding of the Software Development Life Cycle and agile practices such as CI/CD, Application Resiliency, and Security Preferred qualifications, capabilities, and skills Exposure to small language models (SLMs), large reasoning models (LRMs), and model fine-tuning Hands-on experience with AI projects, hackathons, or personal development projects Familiarity with vector databases and streaming architectures Experience with modern front-end technologies used to build AI-enabled user experiences