Leads design and development of scalable agentic AI solutions using Java and/or Python. Builds LLM-powered systems, MCP servers, APIs, production services, and cloud infrastructure on AWS. Establishes secure coding, testing, observability, reliability, and responsible AI practices. Guides team adoption of approved AI-assisted development tools, validates AI-generated outputs, and collaborates across product, design, and operations teams to deliver compliant enterprise applications.
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 JPMorganChase within the Consumer & Community Banking, Digital Technology, 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:
As a Senior Lead Software Engineer at JPMorganChase within the Consumer & Community Banking, Digital Technology, 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:
- Executes software solutions, design, development, and technical troubleshooting, thinking beyond routine approaches to solve complex problems.
- Creates secure, high-quality production code and maintain algorithms that run synchronously with appropriate systems.
- Produces architecture and design artifacts for complex applications, ensuring design constraints are met by software code development.
- Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets to drive continuous improvement of software applications and systems.
- Proactively identifies hidden problems and patterns in data, using insights to drive improvements in coding hygiene and system architecture.
- Contributes to software engineering communities of practice and events that explore new and emerging technologies.
- Adopts and learn new technologies that positively impact agentic solutions.
- Collaborates with cross-functional teams, including product, design, and operations, to deliver end-to-end solutions.
- Ensures 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:
- Formal training or certification on software engineering concepts and 5+ years applied 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 and/or Python
- Proficiency building production services with either Spring AI or 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.
- 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
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.
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
About the TeamOur Consumer & Community Banking Group depends on innovators like you to serve consumers, small businesses, municipalities and non-profits. You’ll support the delivery of award winning tools and services that cover everything from personal and small business banking as well as lending, mortgages, credit cards, payments, auto finance and investment advice. This group is also focused on developing and delivering cutting edged mobile applications, digital experiences and next generation banking technology solutions to better serve our clients and customers.JPMorganChase San Francisco, California, USA Office
San Francisco, CA, United States
Similar Jobs
Artificial Intelligence • Cloud • Information Technology • Consulting
Leads customer discovery, virtualization solution design, migration planning, product requirements, proofs of concept, pilots, and early-access programs. Partners with enterprise customers, sales, presales, and engineering teams to develop HVM/KVM-based solutions, support strategic deals, communicate competitive positioning, and influence the product roadmap. Requires deep virtualization, networking, Linux, storage, and infrastructure expertise, plus strong executive and technical communication skills.
Top Skills:
AnsibleBondingCcnaCcnpHvmKvmL2/L3 NetworkingLibvirtLinuxLinux BridgesNcpNutanix AhvOpen VswitchPythonQemuRhceRoutingTerraformVcpVirtualized StorageVlanVmware VsphereVxlan
Artificial Intelligence • Cloud • Information Technology • Consulting
Serves as the strategic liaison between HPE Hybrid Cloud engineering teams and Global Workplace for worldwide laboratory and technical development environments. Translates business requirements into lab infrastructure, capacity, facility, and portfolio strategies; leads demand forecasting, scenario planning, governance, funding, and investment prioritization. Partners with Facilities, IT, Security, Finance, and engineering stakeholders to develop business cases, track initiatives, report portfolio performance, mitigate capacity risks, and align lab resources with business objectives.
Artificial Intelligence • Cloud • Information Technology • Consulting
Serves as the strategic liaison between HPE Servers engineering teams and Global Workplace for laboratories, testing, NPI, and technical development environments. Plans lab infrastructure and capacity portfolios, translates business requirements into facility solutions, leads scenario planning, supports business cases and funding, and governs project pipelines. Partners with engineering, facilities, IT, security, EHS, and finance teams while providing executive reporting, analytics, risk tracking, and recommendations for lab investments and optimization.
Top Skills:
Ai InfrastructureData CentersHpe Servers
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
