Executive Director, Applied AI & ML

JPMorgan Chase & Co.

Jersey City (NJ)

On-site

USD 210,000 - 320,000

Full time

13 days ago

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Job summary

JPMorgan Chase & Co. is seeking an Applied AI ML Executive Director within the Chief Data and Analytics Office in Jersey City to lead the design, build, and scale of Generative AI capabilities across the enterprise.

You will guide production systems-spanning model development, deployment, and continuous improvement while creating reusable services to accelerate adoption. You will partner with senior stakeholders to prioritize use cases, measure impact, and drive transformation at scale,

Qualifications

  • PhD/MS in Computer Science or related field with extensive AI/ML experience.
  • Strong track record deploying AI/ML into production at scale with reliability and observability.
  • Expertise in distributed systems, model training, serving, and lifecycle management.
  • Proven ability to influence stakeholders and lead cross-functional teams.

Responsibilities

  • Architect end-to-end Generative AI and agentic AI solutions for complex workflows.
  • Lead multi-agent systems to orchestrate tasks and scale end-to-end processes.
  • Translate business goals into AI/ML platform capabilities with reliability and security.
  • Build reusable AI/ML frameworks and services for enterprise adoption.
  • Establish production engineering rigor, including observability and incident readiness.
  • Mentor a high-performing AI engineering team and drive governance for experiments.

Skills

Distributed computing patterns
AI production deployment
Stakeholder management
Team leadership
Experiment design

Education

PhD in Computer Science or related field
MS in Computer Science or related field

Tools

AWS SageMaker
AWS Bedrock
Monitoring and observability tools

Job description

JPMorgan Chase & Co. is seeking an Applied AI ML Executive Director within the Chief Data and Analytics Office in Jersey City to lead the design, build, and scale of Generative AI capabilities across the enterprise.

You will guide production systems-spanning model development, deployment, and continuous improvement while creating reusable services to accelerate adoption. You will partner with senior stakeholders to prioritize use cases, measure impact, and drive transformation at scale,

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