Lead Software Engineer - Applied AI Engineer (Agentic/ Gen AI)

About this role

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. 

As a Lead Software Engineer at JPMorganChase within Commercial & Investment Bank, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading AI-enabled technology products in a secure, stable, and scalable way. You will own the end-to-end lifecycle of AI systems — from rapid prototyping and prompt engineering through to production deployment, monitoring, and continuous improvement. You will apply deep technical expertise in agentic architectures, LLM orchestration, and modern AI frameworks to tackle a diverse array of challenges that span multiple technologies and applications.

Job Responsibilities:

• Build and productionize agentic AI solutions including agents, orchestrators, tool/function integrations, workflow/state management, and guardrails
• Design and develop Python and Java services (microservices and shared libraries) with strong API contracts and domain-driven design where applicable
• Architect and manage data pipelines, embeddings, and vector stores that power RAG and other AI capabilities, including prompt versioning, templating, and optimization for reliability
• Build evaluation and observability frameworks to monitor AI system performance, including hallucination detection, latency, accuracy, and user feedback loops
• Deliver AI-enabled business UI experiences in partnership with product and UX, ensuring usability, performance, and accessibility
• Establish and maintain MLOps practices for AI model deployment, including CI/CD pipelines, model versioning, and infrastructure-as-code for AI workloads
• Collaborate with security, risk, and controls partners to ensure solutions meet governance and compliance expectations for AI-enabled systems
• Drive decisions that influence product design, application functionality, and technical operations, applying creative problem-solving to tackle ...