Build what’s next in applied AI at JPMorganChase - where your work shapes how teams use intelligent systems at scale. You’ll lead hands-on engineering for agentic and GenAI capabilities that power the LLM Suite platform. This role offers a mix of deep technical problem-solving, architecture ownership, and collaboration with talented builders. If you enjoy turning ambiguity into reliable production systems, you’ll thrive here. Join a team that values craft, security, and learning.
As an Applied AI ML Lead in LLM Suite Engineering, you will design and deliver production-grade AI/ML and agentic solutions that integrate seamlessly with existing systems. You will own technical direction across architecture, implementation, and operational stability, with a strong focus on secure, high-quality software. You will partner with peers across engineering to identify patterns and improve standards, reliability, and scalability. You will help evolve the platform using modern public cloud services and agentic frameworks. You will contribute to a collaborative culture through communities of practice and emerging-technology events. You will explore and operationalize emerging patterns such as agent-to-agent communication, model context protocols, and agentic orchestration, turning early-stage concepts into scalable, production-ready capabilities.
Job Responsibilities
- Design, develop, and troubleshoot software solutions using creative approaches to solve complex technical challenges
- Write secure, high-quality production code and maintain algorithms that integrate with existing systems
- Create architecture and design artifacts for complex applications, ensuring design constraints are met through delivery
- Build AI/ML solutions and agentic systems for the LLM Suite platform using public cloud architecture (Azure, AWS) and modern agentic frameworks
- Implement GenAI services leveraging Azure OpenAI models and AWS Bedrock
- Identify hidden problems and patterns in data proactively to improve coding standards and system architecture
- Participate in software engineering communities of practice and events focused on emerging technologies
Required Qualifications, Capabilities, and Skills
- Computer science degree or equivalent practical experience
- Hands-on experience with system design, application development, testing, and operational stability
- Proficiency in Python (FastAPI)
- Experience building microservices and APIs
- Experience with elastic compute, NoSQL databases, and messaging queues
- Strong understanding of the Software Development Life Cycle
- Solid grasp of CI/CD, application resiliency, and security
Preferred Qualifications, Capabilities, and Skills
- Experience implementing GenAI services leveraging Azure OpenAI models and AWS Bedrock
- Proficiency working with large language models and building agents with LangGraph
- Experience developing, debugging, and maintaining code in a large corporate environment using modern programming and database querying languages
- Experience with containerization
- Knowledge of agent-to-agent (A2A) communication concepts
- Familiarity with Model Context Protocol (MCP)
- Experience with agentic orchestrators, personal AI assistants, or AI skills development
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Skills Required
- Computer science degree or equivalent practical experience
- Hands-on experience with system design, application development, testing, and operational stability
- Proficiency in Python (FastAPI)
- Experience building microservices and APIs
- Experience with elastic compute, NoSQL databases, and messaging queues
- Strong understanding of the Software Development Life Cycle
- Solid grasp of CI/CD, application resiliency, and security
- Experience implementing GenAI services leveraging Azure OpenAI models and AWS Bedrock
- Proficiency working with large language models and building agents with LangGraph
- Experience with containerization
- Knowledge of agent-to-agent (A2A) communication concepts
- Familiarity with Model Context Protocol (MCP)
- Experience with agentic orchestrators, personal AI assistants, or AI skills development
- Experience developing, debugging, and maintaining code in a large corporate environment using modern programming and database querying languages
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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