Director, Generative AI & Multi-Agent Systems

JPMorgan Chase; Jersey City (NJ); On-site; USD 223,000 - 325,000; Full time

Benefits offered by this job

Competitive total rewards package

On-site health and wellness centers

Retirement savings plan

Backup childcare

Tuition reimbursement

Mental health support

Job summary

JPMorgan Chase is seeking a senior Applied AI ML Executive Director to lead the design and scale of Generative AI and agentic AI solutions within the Chief Data and Analytics Office. You will guide a team delivering production-ready model development, software engineering, and deployment at an enterprise scale.

You will collaborate with senior stakeholders, prioritize use cases, measure impact, and drive transformation across multiple domains while building reusable services and strong

Qualifications

• PhD in Computer Science or a related quantitative discipline with 8+ years of relevant experience, or MS in Computer Science (or related field) with 12+ years of relevant experience
• Formal training or certification in applied AI and machine learning concepts
• Proven track record of deploying AI/ML applications into production environments at scale, including reliability, monitoring, and lifecycle management
• Strong understanding of AI/ML fundamentals, including experimental design, evaluation methods, and data analysis techniques
• Experience with distributed computing patterns for model training, model serving, and state persistence in production systems
• Demonstrated ability to design systems that incorporate user feedback loops to refine agent behavior and improve performance over time
• Demonstrated experience building, mentoring, and leading high-performing AI/ML teams delivering complex outcomes with cross-functional partners
• Strong communication and stakeholder management skills, including the ability to influence prioritization and align delivery to business value

Responsibilities

• Architect end-to-end Generative AI and agentic AI solutions that automate complex operational workflows with measurable business outcomes
• Lead the design and delivery of multi-agent systems that decompose complex problems, orchestrate tasks, and reliably execute end-to-end workflows at scale
• Translate business objectives into robust AI/ML product and platform capabilities, balancing speed of delivery with reliability, security, and long-term maintainability
• Build reusable frameworks, libraries, and services that enable other AI teams to standardize patterns for model development, evaluation, deployment, and monitoring
• Establish production engineering rigor across AI/ML delivery, including observability, performance tuning, incident readiness, and operational runbooks
• Partner with cross-functional stakeholders to identify high-value opportunities, define success metrics, and scale solutions through adoption and change management
• Mentor and develop a high-performing team of AI engineers and researchers, creating a culture of technical excellence, experimentation, and continuous learning
• Drive governance for experimentation and iteration, ensuring feedback loops and evaluation practices improve model and agent behavior over time

Skills

AI/ML deployment at scale

Distributed computing patterns

User feedback loops design

Leadership of AI/ML teams

Stakeholder management

Communication skills

Education

PhD in Computer Science or related quantitative discipline

MS in Computer Science or related field

Tools

AWS SageMaker

AWS Bedrock

Job description

JPMorgan Chase is seeking a senior Applied AI ML Executive Director to lead the design and scale of Generative AI and agentic AI solutions within the Chief Data and Analytics Office. You will guide a team delivering production-ready model development, software engineering, and deployment at an enterprise scale.

You will collaborate with senior stakeholders, prioritize use cases, measure impact, and drive transformation across multiple domains while building reusable services and strong