Lead Software Engineer- Agentic

We have an opportunity to impact your career and provide an adventure where you can push the limits of whats possible.

As a Lead Software Engineer at JPMorgan Chase within the Consumer & Community Banking division you will design and build critical technology solutions across Chase AI componentsincluding Chase Agent Agent Operating Memory Domain Agents Agentic Experience Service and Assurance.

Job Responsibilities

• Execute software solutions design development and technical troubleshooting thinking beyond routine approaches to solve complex problems.
• Create secure high-quality production code and maintain algorithms that run synchronously with appropriate systems.
• Produce architecture and design artifacts for complex applications ensuring design constraints are met by software code development.
• Gather analyze synthesize and develop visualizations and reporting from large diverse data sets to drive continuous improvement of software applications and systems.
• Proactively identify hidden problems and patterns in data using insights to drive improvements in coding hygiene and system architecture.
• Contribute to software engineering communities of practice and events that explore new and emerging technologies.
• Adopt and learn new technologies that positively impact agentic solutions.
• Collaborate with cross-functional teams including product design and operations to deliver end-to-end solutions.
• Lead code reviews mentor junior engineers and promote best practices in software engineering.
• Ensure compliance with security privacy and regulatory requirements in all software solutions.

Required Qualifications Capabilities and Skills

• 5 years of software engineering experience with 2 years building complex scalable applications or agentic systems.
• Hands-on experience building agentic systems using LLMs/SLMs
• Experience setting up and maintaining MCP servers and building MCP-compatible tools/adapters
• Proficient in coding in one or more languages: Java Python; able to jump between Java and Python projects as needed.
• Proficiency building production services with either Spring AI and the Spring ecosystem (Spring Boot Spring Security Spring Cloud) or Python (FastAPI/Flask) with typed contracts testing and packaging.
• Solid AWS background with working knowledge of ECS or EKS containerization (Docker) and CI/CD (GitHub Actions/Jenkins/CodeBuild).
• Strong API design skills (REST/OpenAPI; gRPC and familiarity with observability stacks (e.g. Splunk CloudWatch Prometheus/Grafana OpenTelemetry).
• Practical understanding of LLM patterns: function calling/tools RAG prompt management context windows token budgeting and safety guardrails.
• Strong testing culture: unit/integration tests load tests and evaluation datasets for agents.
• Excellent communication and cross-functional collaboration skills.

• Experience with agile methodologies and working in fast-paced iterative development environments.

Preferred Qualifications Capabilities and Skills

• Expertise with distributed orchestration patterns for LLM applications (graph-based flows retries fallbacks guardrails) and secure integration with enterprise tools and data.
• Experience with safe rollout strategies (shadowing A/B testing progressive exposure) human-in-the-loop review and continuous evaluation for quality and safety including canary rollouts.
• Knowledge of API gateways service mesh and multi-region high availability and disaster recovery for mission-critical services.
• Familiarity with data privacy security best practices and regulatory compliance in financial services.
• Experience with performance optimization scalability and reliability engineering for large-scale systems.
• Ability to evaluate and integrate third-party tools libraries and frameworks to accelerate development.
• Demonstrated leadership in technical communities open source contributions or industry forums.