Executive Director, Generative AI & Agentic Analytics

Next Frontier Capital; Jersey City (NJ); On-site; USD 180,000 - 280,000; Full time

Job summary

JPMorgan Chase & Co. invites an Applied AI ML Executive Director to lead the design, build, and scale of Generative AI and agentic AI capabilities within the Chief Data and Analytics Office.

You will guide a team delivering production systems spanning model development, software engineering, deployment, and continuous improvement, shaping enterprise-wide transformation. You will partner with senior stakeholders to prioritize use cases, measure impact, and drive adoption across teams, building

Qualifications

• PhD in Computer Science or related quantitative discipline with 8+ years of experience, or MS with 12+ years.
• Formal training or certification in applied AI and ML concepts.
• Proven track record deploying AI/ML in production at scale with reliability and monitoring.

Responsibilities

• Architect end-to-end Generative AI and agentic AI solutions with measurable business outcomes.
• Lead multi-agent systems that decompose problems and orchestrate end-to-end workflows at scale.
• Translate business objectives into AI/ML product and platform capabilities with security and maintainability.
• Build reusable frameworks and services to standardize model development, evaluation, deployment, and monitoring.
• Establish production engineering rigor across AI/ML delivery, including observability and incident readiness.
• Partner with stakeholders to identify opportunities, define metrics, and scale through adoption.

Skills

Generative AI

Agentic AI

Production systems

Distributed computing

Leadership

Education

PhD in Computer Science

MS in Computer Science

Tools

AWS SageMaker

Amazon Bedrock

Job description

JPMorgan Chase & Co. invites an Applied AI ML Executive Director to lead the design, build, and scale of Generative AI and agentic AI capabilities within the Chief Data and Analytics Office.

You will guide a team delivering production systems spanning model development, software engineering, deployment, and continuous improvement, shaping enterprise-wide transformation. You will partner with senior stakeholders to prioritize use cases, measure impact, and drive adoption across teams, building