Drive innovation by designing and delivering enterprise-grade AI solutions that transform banking operations. Join a pioneering team at JPMorganChase where you can build autonomous agents to solve meaningful, complex challenges. You will collaborate with talented teams globally, bridging research and real-world engineering to deliver next-generation solutions. We value your expertise and support your growth through mentorship and mobility. Help shape how AI scales securely in a highly regulated environment.
As a Full Stack Engineer - ML Platform, Applied AI in the Doc AI team within Commercial and Investment Banking, you will design and deliver production architectures for AI-powered products and services. You will work at the intersection of software engineering and applied research to translate innovative ideas into scalable, enterprise-grade solutions. You will collaborate closely with cloud and site reliability engineering teams to build robust, secure systems. You will contribute to a team culture that values ownership, learning, and impact. Depending on your interests and experience, the role offers flexibility for an individual contributor path and optional people leadership opportunities.
Job Responsibilities
- Design and deliver enterprise-grade machine learning systems
- Implement distributed, multi-threaded, and scalable applications
- Build, test, and deploy highly secure automated pipelines for cloud systems, desktop applications, and ML solutions
- Apply software engineering and computer science best practices
- Develop and deploy business-critical, data-intensive applications
- Leverage foundational libraries and services for reuse across teams
- Utilize MLOps tools for versioning, reproducibility, and observability
- Collaborate with cloud and site reliability engineering teams to build robust production architectures
Required Qualifications, Capabilities, and Skills
- Degree in a quantitative discipline such as Computer Science, Mathematics, or Statistics
- Strong knowledge of and hands-on experience with Python
- Broad understanding of the software stack, including front end, back end, cloud architecture, messaging and queue systems, databases, security, and network configurations
- Experience with AWS and Kubernetes
- Ability to develop and deploy business-critical, data-intensive applications
- Strong understanding of computer science fundamentals and development best practices
- Ability to understand business objectives and align machine learning problem definitions accordingly
Preferred Qualifications, Capabilities, and Skills
- Experience in machine learning engineering roles
- Familiarity with higher-level interfaces such as Pydantic AI and Langraph
- Proficiency in TypeScript
- Experience mentoring others or leading teams
- Experience designing reusable libraries and services
- Interest in bridging scientific theory with enterprise-grade systems
- Passion for innovation and continuous learning
Why Join Us?
You will be part of a pioneering team that is transforming banking with AI.
The DocAI team is responsible for building, deploying, and maintaining advanced document processing models and platforms that support colleagues across the firm. The team is currently developing a next-generation AI platform and desktop application that enables users to automate document-centric workflows at enterprise scale, leveraging secure, agentic AI systems capable of processing hundreds of documents per second while operating within one of the world's most demanding and highly regulated environments.
We offer opportunities for career growth, mentorship, and the chance to work on impactful projects that shape the industry. Your expertise will help us build the next generation of AI solutions, making a difference for our clients and communities worldwide.
#CIBAppliedAI
Skills Required
- Degree in a quantitative discipline such as Computer Science, Mathematics, or Statistics
- Strong knowledge of and hands-on experience with Python
- Broad understanding of front-end, back-end, cloud architecture, messaging and queue systems, databases, security, and network configurations
- Experience with AWS and Kubernetes
- Ability to develop and deploy business-critical, data-intensive applications
- Strong understanding of computer science fundamentals and development best practices
- Ability to understand business objectives and align machine learning problem definitions accordingly
- Experience in machine learning engineering roles
- Familiarity with Pydantic AI and LangGraph
- Proficiency in TypeScript
- Experience mentoring others or leading teams
- Experience designing reusable libraries and services
- Interest in bridging scientific theory with enterprise-grade systems
- Passion for innovation and continuous learning
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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