Lead Software Engineer - AI Developer

Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products.

As a Senior Lead Software Engineer at JPMorganChase within the Community & Consumer Bank - CX Loyalty Travel team, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way.

Drive significant business impact through your capabilities and contributions, and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications.

Job responsibilities



* Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors


* Develops secure and high-quality production code, and reviews and debugs code written by others


* Drives decisions that influence the product design, application functionality, and technical operations and processes


* Serves as a function-wide subject matter expert in one or more areas of focus


* Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle


* Influences peers and project decision-makers to consider the use and application of leading-edge technologies


* Adds to the team culture of opportunity, inclusion, and respect


* Ability to tackle design and functionality problems independently with little to no oversight


* Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.


* 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.

Required qualifications, capabilities, and skills


* Formal training or certification on software engineering concepts and 10+ years applied experience


* Advanced in programming languages Java, Python or Node.js


* Strong proficiency with RAG architectures - chunking strategies, embedding models, vector stores (Pinecone, OpenSearch, pgvector, FAISS)


* Experience with AI orchestration frameworks: LangChain, LlamaIndex, Semantic Kernel, or CrewAI


* Hands-on experience with AWS Bedrock, Anthropic Claude models, and model invocation APIs


* Proven prompt engineering skills - system prompts, few-shot, chain-of-thought, tool use, structured outputs


* Experience building conversational AI: chatbots (text) and voicebots (s...