Senior AI/ML Agent Architect for Enterprise Automation

J.P. Morgan; New York (NY); On-site; USD 250,000 - 350,000; Full time

Benefits offered by this job

Health coverage

On-site health centers

Retirement savings plan

Tuition reimbursement

Mental health support

Job summary

JPMorganChase in New York seeks an Applied AI Machine Learning Director to lead end-to-end agent-based and generative AI solutions transforming operations within the Commercial & Investment Bank. You will bridge state-of-the-art research and enterprise-grade engineering to build reliable, scalable systems and mentor engineers and researchers.

You will partner with product, engineering, and business teams to prioritize high-impact problems, define roadmaps, and deliver capabilities that meet

Qualifications

• Formal training or certification on applied artificial intelligence and machine learning concepts and 10+ years applied experience
• Advanced degree (master's or doctorate) in computer science, engineering, statistics, or a related quantitative discipline, or equivalent practical experience
• Demonstrated experience deploying machine learning and/or generative artificial intelligence systems into production at enterprise scale
• Strong foundation in machine learning fundamentals, experimental design, and data-driven decision-making
• Experience designing distributed systems for model training, inference, and stateful services in production environments
• Proven ability to create evaluation strategies for agent-based systems (quality, safety, latency, cost, and reliability), and improve them over time
• Strong programming and engineering skills with a track record of building maintainable, reusable components used by other teams
• Demonstrated ability to lead through influence in cross-functional environments and drive alignment across technical and non-technical stakeholders

Responsibilities

• Architect end-to-end agent-based and generative artificial intelligence solutions to automate complex operational workflows
• Translate ambiguous business problems into research hypotheses, measurable success metrics, and production-ready designs
• Build and ship multiple collaborating agents that coordinate planning and execution across large, multi-step processes
• Design reusable services, libraries, and evaluation frameworks that accelerate adoption across artificial intelligence and engineering teams
• Establish robust experimentation practices, including offline/online evaluation, monitoring, and iterative improvement loops
• Partner with stakeholders across teams to identify priority use cases, define roadmaps, and deliver scalable capabilities
• Ensure solutions meet enterprise expectations for reliability, security, and long-term maintainability in production
• Mentor and coach engineers and researchers through design reviews, technical guidance, and knowledge sharing

Skills

Applied AI/ML experience

Advanced degree in CS/Engineering

Production ML systems experience

Distributed systems design

Programming skills

Cross-functional leadership

Education

Master's or PhD in CS/Engineering/Statistics

Tools

AWS SageMaker

Kubernetes

OAI/Bedrock

Job description

JPMorganChase in New York seeks an Applied AI Machine Learning Director to lead end-to-end agent-based and generative AI solutions transforming operations within the Commercial & Investment Bank. You will bridge state-of-the-art research and enterprise-grade engineering to build reliable, scalable systems and mentor engineers and researchers.

You will partner with product, engineering, and business teams to prioritize high-impact problems, define roadmaps, and deliver capabilities that meet