Full Stack Sr Lead Software Engineer
About The Position
As a Senior Lead Software Engineer within JPMorganChase’s Asset and Wealth Management organization, you will contribute to an agile team building secure, stable, scalable, market-leading technology products. You will apply deep technical expertise and problem-solving skills to challenges spanning multiple technologies and applications, driving significant business impact. The role calls for an experienced software engineering leader with deep expertise in applied AI and agentic system development. You will architect and deliver AI-native autonomous agent solutions that transform client onboarding and operational workflows. This includes designing production-grade agentic AI frameworks, such as multi-agent orchestration, retrieval-augmented generation pipelines, dynamic tool-use agents, and LLM-powered reasoning systems, while creating durable, reusable frameworks for use across teams and functions. You will serve as a subject matter expert on agentic AI, advising cross-functional teams on agent safety, prompt engineering, model evaluation, and responsible AI deployment. You will also influence senior business, product, and technology stakeholders on the strategic adoption of autonomous AI capabilities. The role includes guiding teams in the use and governance of approved AI-assisted engineering practices, integrating AI into existing systems and client onboarding, and leading product and agile delivery activities.
Requirements
- Formal training or certification in software engineering concepts and at least 5 years of applied experience.
- Experience designing, developing, and maintaining 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.
- Experience leading AI-powered products as a Product Owner or Product Manager.
- Strong understanding of financial services; financial-services knowledge is required.
- Experience integrating AI technologies into existing systems and using NLP and ML frameworks to improve client onboarding and user experience.
- Experience collaborating with data scientists to develop and deploy predictive models.
- Experience implementing cloud-based solutions on AWS, including EC2, S3, and Lambda.
- Experience championing agile methodologies and facilitating sprint planning, daily stand-ups, and retrospectives.
- Demonstrated experience leading effective use of enterprise-authorized AI-assisted software development tools for activities such as coding, code review, test acceleration, and troubleshooting.
- Ability to establish team expectations for validating AI outputs for correctness, performance, and security.
- Strong understanding of responsible AI use in engineering workflows, including data sensitivity, secure handling of inputs and outputs, and resiliency and security expectations.
- Experience coaching senior engineers or leads on compliant AI usage patterns and controls.
- Experience applying expertise and new methods to solve complex technology problems in one or more technical disciplines.
- Ability to present and communicate effectively with senior leaders and executives.
Nice To Haves
- Experience developing and refining prompt engineering and multi-turn agent interaction design.
- Expertise in agent observability and evaluation tooling.
- Domain knowledge of client onboarding.
Responsibilities
- Provide technical guidance and direction to the business and technical teams, contractors, and vendors.
- Develop secure, high-quality production code; review and debug code written by others.
- Drive adoption and governance of approved AI-assisted engineering practices, including establishing validation standards for secure coding, peer review, and automated testing, and promoting reuse of proven patterns and automation across the SDLC/TLM toolchain.
- Apply Software Development Life Cycle toolchain capabilities, including approved AI-assisted development and automation tools, to improve the value realized through automation at scale.
- Drive decisions influencing product design, application functionality, technical operations, and processes.
- Serve as a function-wide subject matter expert in one or more focus areas.
- Contribute to the engineering community by advocating firmwide SDLC frameworks, tools, and practices.
- Architect, develop, and maintain scalable applications using Java/J2EE and/or Python, and build production-grade agentic AI solutions.
- Lead integration of AI technologies into existing systems, using NLP and ML frameworks to enhance client onboarding and user experience.
- Collaborate with data scientists to develop and deploy predictive models.
- Implement cloud-based solutions on AWS, including services such as EC2, S3, and Lambda.
- Lead AI-powered products as a Product Owner or Product Manager and champion agile practices, including sprint planning, daily stand-ups, and retrospectives.
- Set expectations for validating AI-generated outputs for correctness, performance, and security, and coach senior engineers and leads on responsible, compliant AI usage.
- Communicate effectively with senior leaders and executives.
Benefits
- Comprehensive health care coverage
- On-site health and wellness centers
- Retirement savings plan
- Backup childcare
- Tuition reimbursement
- Mental health support
- Financial coaching
- Eligible roles may receive commission-based pay and/or discretionary incentive compensation in cash and/or forfeitable equity
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
