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 JPMorgan

Chase 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.

• 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

• 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, Open Search, pgvector, FAISS)
• Experience with AI orchestration frameworks:
  Lang Chain, Llama Index, 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