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As a Lead Software Engineer at JPMorganChase within the Consumer and Community Banking - Deposits 2.0 platform, 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. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.
Job responsibilities
- Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or breakdown technical problems
- Define and drive the platform roadmap for agent-based capabilities, focusing on measurable outcomes, reliability, and usability
- Lead end-to-end delivery of core agent platform components, including software development kits, reference implementations, and integration patterns
- Partner with product, engineering, risk, and control stakeholders to align requirements, prioritize trade-offs, and unblock execution
- Establish quality, performance, and operational standards for agent workloads, including monitoring, testing, and incident readiness
- Translate experimentation into production by driving clear architecture decisions, scalable designs, and repeatable deployment practices
- Guide responsible development practices by embedding governance, privacy, and model risk considerations into platform design
- Communicate technical strategy and progress to senior stakeholders with clarity, data, and pragmatic recommendations
- 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
Proficiency in Python (primary for agent orchestration and LLM tooling) and/or TypeScript / Java / Go for enterprise backend integration.
Data & RAG Systems: Designing hybrid search pipelines (dense vector retrieval, BM25, rerankers) paired with vector databases like Pinecone, Milvus, Qdrant, or pgvector.
Backend & API Design: Building scalable microservices using FastAPI, Spring Boot, or Node.js to expose agent interfaces (REST, WebSockets, Server-Sent Events for streaming tokens and tool calls).
- 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
Agentic Frameworks & Orchestration: Production experience with multi-agent and workflow orchestration frameworks (e.g., LangGraph, AutoGen, CrewAI, LlamaIndex Workflows, Semantic Kernel).
Tool Calling & Function Calling: Deep expertise in structuring model tool calls, JSON schema validation, dynamic API integration, sandboxed code execution, and MCP (Model Context Protocol).
Architecture & Memory Management: Implementing short-term and episodic memory (scratchpads, state graphs, vector-based retrieval, conversational buffer compaction).
LLM Foundations: Advanced prompt engineering, chain-of-thought, ReAct (Reasoning + Acting), reflection loops, and output grounding/guardrails (e.g., NeMo Guardrails, Guardrails AI)
Preferred qualifications, capabilities, and skills:
- Experience building agent-based systems, orchestration patterns, or agent development tooling and evaluation frameworks
- Experience designing scalable inference or model serving architectures, including latency, throughput, and cost optimization
- Familiarity with responsible artificial intelligence practices, model risk concepts, and governance-by-design approaches
- Experience contributing to or maintaining widely used open-source software in machine learning or infrastructure ecosystems
- Domain knowledge applying machine learning to regulated financial services use cases
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.Skills Required
- Formal training or certification in software engineering concepts
- At least 5 years of applied software engineering experience
- Proficiency in Python and/or TypeScript, Java, or Go
- Experience designing hybrid search and RAG systems using vector databases
- Experience building scalable microservices and backend APIs with FastAPI, Spring Boot, or Node.js
- Experience leading approved AI-assisted software development tools and validating their outputs
- Understanding of responsible AI, data sensitivity, secure input/output handling, resiliency, and security practices
- Production experience with multi-agent and workflow orchestration frameworks
- Expertise in model tool calling, function calling, JSON schema validation, dynamic API integration, sandboxed execution, and MCP
- Experience implementing short-term and episodic memory for agent systems
- Advanced prompt engineering, ReAct, reflection loops, chain-of-thought, grounding, and guardrails
- Experience building agent-based systems, orchestration patterns, agent tooling, or evaluation frameworks
- Experience designing scalable inference or model-serving architectures
- Familiarity with responsible AI, model risk, and governance-by-design
- Experience contributing to widely used open-source machine learning or infrastructure software
- Machine learning domain knowledge in regulated financial services
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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