Executive Director - Principal Software Engineer - Java, AI, NLP

JPMorgan Chase & Co.; Jersey City (NJ); On-site; USD 180,000 - 320,000; Full time

Job summary

JPMorganChase seeks an Executive Director - Principal Software Engineer to lead AI-native, autonomous agentic solutions in Client Onboarding. You will architect scalable AI-enabled workflows, drive cross-functional collaboration, and mentor teams in safe, production-grade delivery.

The role requires 12+ years of software engineering experience, Python/Java expertise, and deep knowledge of NLP/ML, AWS SageMaker, and cloud deployment. You will report into Asset Wealth Management.

Qualifications

• Formal training or certification in software engineering concepts and 12+ years applied experience.
• Experience with Python and Java/J2EE in production.
• Hands-on with agentic AI frameworks and NLP/ML.
• Experience leading AI-powered products and collaborating with executives.

Responsibilities

• Develop scalable, secure production code and review colleagues' work.
• Lead integration of autonomous agents into enterprise systems and measure business impact.
• Architect agentic AI workflows with guardrails for security and reuse.
• Utilize enterprise toolchains and AI-assisted development to improve automation.
• Advise cross-functional teams and act as SME on agentic AI.

Skills

Python

Java/J2EE

NLP/ML

AWS SageMaker

Agentic AI

AI frameworks

Product Owner

Executive communication

Financial services

AWS Bedrock

Job description

If you are looking for a game-changing career, working for one of the world's leading financial institutions, you've come to the right place.

As a Principal Software Engineer at JPMorganChase within the Asset Wealth Management, Client Onboarding Team, you provide expertise and engineering excellence as an integral part of an agile team to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. Leverage your advanced technical capabilities and collaborate with colleagues across the organization to drive best-in-class outcomes across various technologies to support one or more of the firm’s portfolios.

We are seeking a visionaryExecutive Director - Principal Software Engineerwith 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

• Creates complex and scalable coding frameworks using appropriate software design frameworks
  Develops secure and high-quality production code, and reviews and debugs code written by others
• Lead the integration of intelligent, self-directed agents into existing enterprise systems, champion agile delivery practices, and translate complex AI concepts into measurable business outcomes for executive audiences.
• Architects and governs agentic AI-enabled engineering workflows (using enterprise-authorized tools within the work environment) to improve delivery speed, code quality, and operational outcomes at scale (e.g., AI-driven PR review assistance, test generation/maintenance, release readiness checks, incident triage and root-cause acceleration), while defining guardrails for validation, security, resiliency, and reuse across teams.
• 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 at scale.
• Advise cross-functional teams on technological matters within domain of expertise
• Serves as the function's go-to subject matter expert
• Contributes to the development of technical methods in specialized fields in line with the latest product development methodologies
• Creates durable, reusable software frameworks that are leveraged across teams and functions
  Influences leaders and senior stakeholders across business, product, and technology teams

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 12 + years applied experience
• Design, develop, and maintain scalable applications using Python and Java/J2EE, 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 is required, along with a strong understanding of financial services.
• 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.
• 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
• Expert in one or more programming language(s)
• Experience applying expertise and new methods to determine solutions for complex technology problems in one or more technical disciplines
• Experience leading a product as a Product Owner or Product Manager
• Ability to present and effectively communicate with Senior Leaders and Executives
• Understanding of the business, financial services is required

Preferred qualifications, capabilities, and skills

• 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.
• Domain knowledge, client onboarding is preferred