As a Senior Associate, Applied AI/ML Engineer in the Applied AI/ML team, you will help customers build, deploy, and operate AI/ML models and agentic systems in a safe, scalable way.
Job responsibilities
Assist customers in building and deploying models and agents across multiple model/agent frameworks (selection, integration patterns, troubleshooting, best practices).
Implement and operate AI/ML observability: experimentation management, tracing, and monitoring to improve quality and reliability of model/agent behavior.
Build and optimize large-scale data processing pipelines and feature workflows using distributed compute (e.g., Ray, Spark, or similar).
Develop AI/ML systems using coding assistants to improve engineering efficiency while maintaining code quality standards.
Ensure secure deployment and access for AI/ML services (e.g., secure-by-design practices, access controls, and environment separation), aligned to firm guidance for safe/responsible AI use.
Produce clear technical documentation and runbooks to enable supportability and repeatable delivery.
Required qualifications, capabilities, and skills
Hands-on experience supporting customers/teams delivering AI/ML products (model + agent workflows).
Experience with observability, evaluation/experimentation, and tracing platforms for AI/ML or LLM/agent systems.
Experience with distributed data processing at scale (Ray, Spark, or similar).
Strong software engineering skills (clean code, testing, CI/CD concepts, API/service development).
Strong communication skills and ability to translate requirements into practical engineering outcomes.
Preferred qualifications
Experience integrating AI/ML into production systems (monitoring, incident response, change management).
Familiarity with responsible AI/ML governance expectations and lifecycle controls
Skills Required
- Hands-on experience supporting customers/teams delivering AI/ML products (model + agent workflows).
- Experience with observability, evaluation/experimentation, and tracing platforms for AI/ML or LLM/agent systems.
- Experience with distributed data processing at scale (Ray, Spark, or similar).
- Strong software engineering skills (clean code, testing, CI/CD concepts, API/service development).
- Strong communication skills and ability to translate requirements into practical engineering outcomes.
- Experience integrating AI/ML into production systems (monitoring, incident response, change management).
- Familiarity with responsible AI/ML governance expectations and lifecycle controls.
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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