Applied AI ML Lead - LLM Suite Engineering

Build what's next in applied AI at JPMorgan Chase - where your work shapes how teams use intelligent systems at scale.

You’ll lead hands-on engineering for agentic and Gen AI 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 Gen AI services leveraging Azure Open AI 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 (Fast API)
• Experience building microservices and APIs
• Experience with elastic compute, No SQL 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 Gen AI services leveraging Azure Open AI models and AWS Bedrock
• Proficiency working with large language models and building agents with Lang Graph
• 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

Morgan is a global leader in financial services, providing strategic advice and products to the world’s most prominent corporations, governments, wealthy individuals and institutional investors.

Our first-class business in a first-class way approach to serving clients drives everything we do.

We strive to build trusted, long-term partnerships to help our clients achieve their business objectives.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success.

We are an equal opportunity employer and place a high value on diversity and inclusion at our company.

We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law.

We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs.

Visit our FAQs for more information about requesting an accommodation.

Our Corporate Technology team relies on smart, driven people like you to develop applications and provide tech support for all our corporate functions across our network.

Your efforts will touch lives all over the financial spectrum and across all our divisions: Global Finance, Corporate Treasury, Risk Management, Human Resources, Compliance, Legal, and within the Corporate Administrative Office.

You’ll be part of a team specifically built to meet and exceed our evolving technology needs, as well as our technology controls agenda.

Lead applied AI and engineering to build secure, scalable agentic solutions within our LLM suite.

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