Help shape the next wave of Applied AI innovation in Markets Operations by turning ideas into production-ready solutions. You will build practical AI capabilities that improve workflows, strengthen controls, and unlock productivity for teams across the organization. Working alongside engineers, AI specialists, and operations partners, you will bridge cutting-edge techniques with enterprise-grade systems. At JPMorganChase, you can grow your career through meaningful work, strong mentorship, and hands-on ownership. Join a team that values creativity, collaboration, and continuous learning.
As an Applied AI Engineer in the applied AI team within Markets Operations, you will design, build, test, and deploy scalable AI services integrated with strategic systems and operational processes. You will collaborate with software engineers, AI and data science specialists, operations stakeholders, and business partners to improve operational workflows, controls, and the software development lifecycle. You will focus on hands-on engineering across Python services, APIs, data pipelines, infrastructure, monitoring, and production readiness. You will build domain knowledge across Markets Operations and translate real workflow pain points into durable solutions. You will contribute to a culture of innovation, collaboration, and engineering excellence.
Job Responsibilities
- Contribute to technology and architecture patterns that enable AI solutions across Markets Operations and software engineering use cases
- Build and enhance robust, scalable, reusable AI services and supporting infrastructure using modern technologies
- Collaborate with AI and data science specialists to design, develop, test, and deploy services integrated with strategic systems and operational processes
- Learn Markets Operations processes and apply that knowledge to develop practical solutions and integrations with banking operations systems
- Evaluate new AI infrastructure technologies and share findings to inform team technical decisions
- Document designs, implementation details, and tradeoffs to support maintainability and knowledge sharing
- Support scalability, reliability, and security of AI and machine learning solutions in production, with a focus on operational readiness and sustainability
- Partner with operations stakeholders to understand workflow pain points and translate them into practical technology solutions
Required Qualifications, Capabilities, and Skills
- Hold a Bachelor’s or Master’s degree in Computer Science, Software Engineering, a related field, or equivalent practical experience
- Demonstrate strong Python programming skills
- Design, develop, and integrate RESTful APIs, such as with FastAPI
- Build and support ETL and data pipeline engineering workflows
- Apply Infrastructure as Code practices, such as Terraform, and work within CI/CD pipelines
- Design and integrate databases and data models
- Apply monitoring practices and understand controls and compliance concepts in production environments
- Communicate effectively in writing and verbally, explaining technical concepts to technical and non-technical audiences
- Collaborate effectively on multi-disciplinary teams and incorporate feedback into your work
Preferred Qualifications, Capabilities, and Skills
- Apply AI and machine learning concepts with a strong interest in applied AI productization
- Bring experience from academic work, projects, internships, or roles applying AI in finance, operations, markets, or enterprise technology
- Demonstrate familiarity with Markets Operations processes such as trade lifecycle, post-trade operations, reconciliations, controls, or exception management
- Use AWS and tools such as MLflow
- Develop front-end capabilities with React or modern front-end development
- Apply graph database modeling concepts
Why Join Us?
Your contributions will help redefine what’s possible in financial services. You’ll be part of a team that values creativity, collaboration, and continuous learning, empowering you to make a real impact and grow your career.
#CIBAppliedAI
Skills Required
- Bachelor's or Master's in Computer Science, Software Engineering, related field, or equivalent experience
- Strong Python programming skills
- Design, develop, and integrate RESTful APIs (e.g., FastAPI)
- Build and support ETL and data pipeline engineering workflows
- Apply Infrastructure as Code practices (e.g., Terraform) and work within CI/CD pipelines
- Design and integrate databases and data models
- Apply monitoring practices and understand controls and compliance in production environments
- Effective written and verbal communication of technical concepts
- Ability to collaborate effectively on multi-disciplinary teams
- Apply AI and machine learning concepts; interest in applied AI productization
- Experience applying AI in finance, markets, operations, or enterprise technology
- Familiarity with Markets Operations processes (trade lifecycle, post-trade, reconciliations, controls)
- Experience with AWS and MLflow
- Front-end development experience with React
- Familiarity with graph database modeling concepts
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 comprehensive, with on-site clinics, preventive care, and specialized supports such as maternity nurse guidance and fertility treatments. Wellness activities can help offset copays and out-of-pocket costs, reinforcing the perceived strength of health benefits.
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Retirement Support — A 401(k) with dollar-for-dollar matching and additional automatic pay credits reflect strong employer-backed retirement savings. An employee stock purchase plan and related financial programs further bolster long-term financial support.
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Leave & Time Off Breadth — Paid time off, sick time, holidays, and generous parental leave are provided alongside family medical leave and adoption/fertility assistance. Additional programs like caregiver support and volunteer time off expand the breadth of time-away options.
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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