Agentic AI Architect for Enterprise Banking

JPMorganChase; Jersey City (NJ); On-site; USD 250,000 - 350,000; Full time

Benefits offered by this job

Equity

Incentives

Health insurance

Retirement plan

Job summary

JPMorganChase is seeking an Applied AI Machine Learning Director within the Commercial & Investment Bank to lead design and delivery of agent-based and generative AI solutions for complex operations.

You will bridge research and enterprise engineering, ensure safety and reliability, mentor engineers, and collaborate with product, engineering, and business teams to drive high-impact outcomes across the organization.

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

10+ years experience

Advanced degree

Production deployment

ML fundamentals

Distributed systems

Evaluation strategies

Programming skills

Cross-functional leadership

Education

MS/PhD in CS/Engineering/Statistics

Tools

AWS SageMaker

Kubernetes

Job description

JPMorganChase is seeking an Applied AI Machine Learning Director within the Commercial & Investment Bank to lead design and delivery of agent-based and generative AI solutions for complex operations.

You will bridge research and enterprise engineering, ensure safety and reliability, mentor engineers, and collaborate with product, engineering, and business teams to drive high-impact outcomes across the organization.