
Full Stack Sr Lead Software Engineer
Jersey City, NJFull-time$176–260K/yrSeen todaySeen in employer's feed today
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Job overview
The Senior Lead Software Engineer will architect and deliver autonomous, AI-native solutions for client onboarding and operational workflows in Asset and Wealth Management. The role leads development of reusable agentic AI frameworks and advises cross-functional teams on agent safety, prompt engineering, model evaluation, and responsible deployment. It also guides engineering teams and influences senior stakeholders on adopting AI capabilities and approved AI-assisted development practices.
Skills & qualifications
Skills
Qualifications
Benefits
Full job description
Full Stack Sr Lead Software Engineer
Jersey City, NJ, United States
Job Information
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Job Identification 210800726
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Job Category Software Engineering
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Business Unit Asset & Wealth Management
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Posting Date 10/27/2026, 05:28 PM
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Locations 575 Washington Blvd, Jersey City, NJ, 07310, US
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Job Schedule Full time
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Job Shift Day
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Base Pay/Salary Jersey City,NJ $175,750.00-$260,000.00
Job Description
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 Asset and Wealth Management, 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.
We are seeking a visionary Senior LeadSoftware Engineer with extensive experience of applied experience in software engineering and deep expertise in advanced AI and agentic system development. This leader will be responsible for architecting and delivering AI-native, autonomous agentic AI solutions that transform client onboarding and operational workflows across the organization. The ideal candidate brings a proven track record of designing production-grade agentic AI frameworks — including multi-agent orchestration, retrieval-augmented generation (RAG) pipelines, dynamic tool-use agents, and LLM-powered reasoning systems — while building durable, reusable software frameworks leveraged across teams and functions. They will serve as the organization's foremost subject matter expert on agentic AI, advising cross-functional teams on agent safety, prompt engineering, model evaluation, and responsible AI deployment, and will influence senior stakeholders across business, product, and technology on the strategic adoption of autonomous AI capabilities.
Job responsibilities
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Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors
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Develops secure and high-quality production code, and reviews and debugs code written by others
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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.
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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.
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Drives decisions that influence the product design, application functionality, and technical operations and processes
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Serves as a function-wide subject matter expert in one or more areas of focus
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Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle
Required qualifications, capabilities, and skills
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Formal training or certification on software engineering concepts and 5+ years applied experience
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Design, develop, and maintain scalable applications using Java/J2EE and/or Python, hands-on experience with agentic AI frameworks, and deep knowledge of NLP, ML, and cloud-native AI deployment on AWS (including SageMaker and Bedrock).
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Experience leading AI-powered products as a Product Owner or Product Manager is required, along with a strong understanding of financial services.
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Lead the integration of AI technologies into existing systems, utilizing Natural Language Processing (NLP) and Machine Learning (ML) frameworks to enhance client onboarding processes and improve user experience. Collaborate with data scientists to develop and deploy predictive models.
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Implement cloud-based solutions on AWS, leveraging services such as EC2, S3, and Lambda. Champion agile methodologies within the team, facilitating sprint planning, daily stand-ups, and retrospectives to ensure timely delivery of high-quality software
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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
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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.
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Experience applying expertise and new methods to determine solutions for complex technology problems in one or more technical disciplines
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Experience leading a product as a Product Owner or Product Manager
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Ability to present and effectively communicate with Senior Leaders and Executives
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Understanding of the business, financial services is required
Preferred qualifications, capabilities, and skills
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Developing and refining prompt engineering and multi-turn agent interaction design, expertise in agent observability and evaluation tooling, and domain knowledge in client onboarding processes.
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Domain knowledge, client onboarding is preferred
About Us
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
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 (https://careers.jpmorgan.com/us/en/how-we-hire/faqs) for more information about requesting an accommodation.
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
About the Team
J.P. Morgan Asset & Wealth Management delivers industry-leading investment management and private banking solutions. Asset Management provides individuals, advisors and institutions with strategies and expertise that span the full spectrum of asset classes through our global network of investment professionals. Wealth Management helps individuals, families and foundations take a more intentional approach to their wealth or finances to better define, focus and realize their goals.
How this job compares
Set against the 7,944 open Software Engineering jobs on Olive Jobs, counted October 30, 2026.
- Pay
- This posting$176–260K/yr
- New Jersey median$157–236K/yr218 salary ranges
- US median$147–245K/yr5,954 salary ranges
This range's midpoint, $218K, is 13% above the New Jersey median midpoint ($193K) — in the middle half of Software Engineering salary ranges in New Jersey.
- Openings
- Olive Jobs lists 240 open Software Engineering jobs in New Jersey and 7,944 across the US. 7% of them nationwide are listed as remote or flexible.
- Hiring the most in New Jersey
- JPMorgan Chase (this employer)66 open
- Deloitte17 open
- EY12 open
- Experience
- This posting asks for at least 5 years of experience; Software Engineering postings that state a minimum ask for 7 years at the median (6,138 postings).
- Education
- 2,188 of the 7,944 open Software Engineering jobs (28%) ask for a bachelor's degree or higher.
Counted across the open, public US postings on Olive Jobs on October 30, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.
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