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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 components-including Chase Agent, Agent Operating Memory, Domain Agents, Agentic Experience Service, and Assurance.

Job responsibilities

• Create secure, high-quality production code and maintain algorithms that run synchronously with appropriate systems.
• Execute software solutions, design, development, and technical troubleshooting, thinking beyond routine approaches to solve complex problems.
• 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.
• 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
• 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

• Hands-on experience building agentic systems using LLMs/SLMs 
• 5+ years of software engineering experience, with 2+ years building complex scalable applications or agentic systems.
• 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.
• Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security
• Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices

Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs. 

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions.  We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. 

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

Equal Opportunity Employer/Disability/Veterans