Be an integral part of Asset & Wealth Management (AWM) Technology, where you will help shape the future of Private Bank digital platforms through engineering excellence, intelligent automation, and AI-driven innovation.
As a Senior Lead Software Engineer for Agentic AI at JPMorganChase within the Asset & Wealth Management (AWM) Technology organization, 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.
As an Agentic AI Senior Lead Software Engineer within AWM, Private Banking Web, you will lead the development of production-grade solutions that harness agentic AI, large language models, and automation to elevate how advisors and clients experience Private Banking. Partnering with product, design, architecture, cybersecurity, and data teams, you will solve complex business challenges, accelerate delivery, and drive measurable impact for one of the world's most influential financial institutions.
Job responsibilities
Lead full-stack design, development, and delivery of secure, scalable Private Banking Web applications across front-end, back-end, service, data, and cloud tiers
Build high-quality production software using Python, Java, modern web technologies, RESTful APIs, microservices, and event-driven architecture
Develop responsive and reliable web experiences that integrate user interfaces, APIs, business services, data platforms, and enterprise systems
Drives adoption and governance of approved AI-assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test acceleration, release readiness, incident/root-cause analysis), while establishing measurable validation standards (secure coding, peer review, automated testing) and promoting reuse of proven patterns and automation within the SDLC/TLM toolchain.
Applies knowledge of tools within the Software Development Life Cycle toolchain, including approved AI-assisted development and automation capabilities, to improve the value realized by automation at scale.
Architect agentic AI solutions that leverage LLMs, AI agents, orchestration frameworks, tool calling, workflow automation, and enterprise data sources
Integrate AI-enabled capabilities that enhance personalization, search, insights, recommendations, and self-service across Private Banking Web experiences
Drive technical decisions across application architecture, cloud services, security controls, performance, observability, reliability, and production readiness
Review designs and code, debug complex full-stack issues, strengthen code quality, and enforce secure coding practices across globally distributed teams
Collaborate with product, design, data, architecture, cybersecurity, risk, and business stakeholders to deliver solutions aligned to enterprise standards
Mentor engineers, influence technical direction, and promote effective use of AI-assisted development tools, reusable skills, and engineering accelerators
Required qualifications, capabilities, and skills
Formal training or certification on software engineering concepts and 5+ years applied experience
Demonstrate advanced hands-on full-stack software engineering expertise, with a proven track record of designing and delivering production-grade enterprise applications
Possess strong hands-on development experience with Python, Java, modern web technologies, RESTful APIs, microservices, distributed systems, and data integration patterns
Experience building secure multi-tier applications using AWS or other cloud platforms, including compute, storage, networking, identity, security, observability, and deployment automation services
Ability to apply deep knowledge of application security, authentication, authorization, data protection, secure SDLC practices, vulnerability remediation, and financial services control expectations
Demonstrated experience leading effective use of enterprise-authorized AI-assisted software development tools within the work environment (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 senior engineers/leads on compliant usage patterns and controls.
Develop agentic AI solutions using LLMs, prompt engineering, retrieval-augmented generation, AI agents, tool calling, workflow orchestration, and frameworks such as LangGraph, Semantic Kernel, MCP, A2A, CrewAI
Design reliable integrations using messaging, streaming, GraphQL, gRPC, WebSocket, relational databases, NoSQL platforms, caching, search, and event-driven technologies
Deliver engineering quality through automated testing, CI/CD pipelines, Infrastructure as Code (IaC), containerization, Docker, Kubernetes, monitoring, logging, and production support
Lead technical teams in a global agile environment, influence architecture decisions, communicate with senior stakeholders, and mentor engineers across multiple disciplines
Preferred qualifications, capabilities, and skills
Experience with Private Banking, Wealth Management, MarTech, client engagement, advisor platforms, or regulated financial services technology
Experience using AI-assisted engineering tools, coding agents, reusable skills, prompt libraries, and developer productivity platforms to improve delivery efficiency
Experience implementing responsible AI practices, including model evaluation, guardrails, observability, data privacy, human-in-the-loop review, explainability, and risk-aware deployment
Ability to modernize legacy platforms by decomposing applications, improving API strategy, increasing automation, and migrating workloads to cloud-native architectures
Communicate complex technical concepts clearly to engineering, product, business, cybersecurity, and senior leadership audiences
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.
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
Skills Required
- Formal training or certification in software engineering concepts
- 5+ years of applied software engineering experience
- Advanced hands-on full-stack software engineering experience delivering production-grade enterprise applications
- Strong experience with Python, Java, modern web technologies, RESTful APIs, microservices, distributed systems, and data integration patterns
- Experience building secure multi-tier applications using AWS or other cloud platforms
- Knowledge of application security, authentication, authorization, data protection, secure SDLC, vulnerability remediation, and financial services controls
- Experience leading enterprise-authorized AI-assisted software development tools and validating AI outputs for correctness, performance, and security
- Understanding of responsible AI in engineering workflows, data sensitivity, secure input and output handling, resiliency, and security controls
- Experience developing agentic AI solutions using LLMs, prompt engineering, retrieval-augmented generation, AI agents, tool calling, workflow orchestration, and frameworks such as LangGraph, Semantic Kernel, MCP, A2A, or CrewAI
- Experience with messaging, streaming, GraphQL, gRPC, WebSocket, relational databases, NoSQL, caching, search, and event-driven technologies
- Experience with automated testing, CI/CD, Infrastructure as Code, Docker, Kubernetes, monitoring, logging, and production support
- Experience leading technical teams in a global agile environment, influencing architecture, communicating with senior stakeholders, and mentoring engineers
- Experience with Private Banking, Wealth Management, MarTech, client engagement, advisor platforms, or regulated financial services technology
- Experience with AI-assisted engineering tools, coding agents, reusable skills, prompt libraries, and developer productivity platforms
- Experience implementing responsible AI practices including model evaluation, guardrails, observability, data privacy, human-in-the-loop review, explainability, and risk-aware deployment
- Ability to modernize legacy platforms through application decomposition, API improvements, automation, and cloud-native migration
- Ability to communicate complex technical concepts to engineering, product, business, cybersecurity, and senior leadership audiences
JPMorganChase Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about JPMorganChase and has not been reviewed or approved by JPMorganChase.
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Healthcare Strength — Medical, dental, vision, and mental-health coverage are broad, with wellness incentives, on-site or virtual care, and an EAP offering coaching and counseling. Plan materials emphasize accessible options, including multiple medical choices and tools to manage costs.
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Parental & Family Support — Paid parental leave extends up to 16 weeks for all parents, supplemented by paid Critical Caregiver Leave. Family resources include backup childcare via Bright Horizons, lactation support and milk-shipping, family-building assistance, and even a free five-month SNOO rental for newborns.
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Retirement Support — Retirement programs include a 401(k) with an annual company match and automatic pay credits for most employees, with a legacy pension available to earlier hires. An Employee Stock Purchase Plan at a 5% discount further supports long-term savings.
JPMorganChase Insights
What We Do
JPMorgan Chase & Co. (NYSE: JPM) is a leading global financial services firm with assets of $3.7 trillion and operations worldwide. The firm is a leader in investment banking, financial services for consumers and small businesses, commercial banking, financial transaction processing, and asset management. A component of the Dow Jones Industrial Average, JPMorgan Chase & Co. serves millions of consumers in the United States and many of the world’s most prominent corporate, institutional and government clients under its J.P. Morgan and Chase brands. Technology fuels every aspect of our company and is at the heart of everything we do. With over 50,000 technologists globally and an annual tech spend of $12 billion, we are dedicated to improving the design, analytics, development, coding, testing and application programming that goes into creating high quality software and new products. Learn more about technology at our firm, explore resources from our Distinguished Engineers, AI & ML researchers, and other experts; access the latest episode of our TechTrends podcast, and more at www.jpmorgan.com/technology. Information about JPMorgan Chase & Co. is available at www.jpmorganchase.com. ©2023 JPMorgan Chase & Co. All rights reserved. JPMorgan Chase is an Equal Opportunity Employer, including Disability/Veterans.
Why Work With Us
Our technologists work on a diverse range of solutions that include strategic technology initiatives, big data, mobile, electronic payments, machine learning, cybersecurity, enterprise cloud development, and other state-of-the-art technologies.
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