Lead Software Engineer AI Developer

Be an integral part of an agile team thats 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

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
• 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 (speech-to-text text-to-speech integration)
• Proficiency with AWS services (Lambda Step Functions API Gateway S3 DynamoDB SQS)
• Experience with CI/CD pipelines containerization (Docker ECS/EKS) and infrastructure-as-code
• Strong understanding of API design (REST GraphQL) microservices architecture and event-driven systems
• Familiarity with evaluation frameworks for LLM outputs. Experience with guardrails content filtering and responsible AI practices

• Financial Services industry experience