Applied AI & ML Lead: Generative AI in Production

JPMorgan Chase & Co.; Jersey City (NJ); On-site; USD 210,000 - 300,000; Full time

Job summary

JPMorgan Chase & Co. invites an Applied AI and Machine Learning Lead within the Data Science and AI team supporting our Technology organization.

You will drive generative AI and advanced analytics initiatives from research through production, leading foundation-model design, evaluation, and deployment to improve decision-making and automate work. You will partner with product, engineering, and risk stakeholders to define measurable outcomes, establish governance, and ensure scalable, robust, and

Qualifications

• Master’s degree in computer science, engineering, statistics, or a related quantitative discipline.
• 7+ years of applied experience building and deploying ML and generative AI solutions in production.
• Strong proficiency in Python and PyTorch.
• Experience leading experimentation, metrics definition, and stakeholder reporting.
• Proven ability to deploy and operate models in production with monitoring and reliability considerations.
• Familiarity with responsible AI practices, model risk concepts, and governance in regulated environments.
• Strong software engineering fundamentals, including version control, code reviews, testing, and maintainable design.
• Proven ability to partner across product, engineering, and business stakeholders to translate ambiguous needs into clear outcomes and delivery plans.

Responsibilities

• Lead end-to-end generative AI initiatives from problem framing and experimentation through production release and measurable adoption.
• Design and evaluate foundation-model approaches, including model selection, fine-tuning strategies, retrieval and context design, and safety controls.
• Establish rigorous evaluation practices (quality, robustness, latency, cost, and risk) and translate results into clear recommendations and roadmaps.
• Build and operationalize production-grade machine learning and generative AI services using sound engineering practices, monitoring, and incident-ready controls.
• Define and drive semantic consistency across systems by leading semantic modeling standards and lifecycle governance in partnership with domain experts.
• Implement integration patterns that align data pipelines, application interfaces, and user experiences to reduce semantic conflicts and increase trust in outcomes.
• Partner with cross-functional leaders to define success metrics, manage trade-offs, and deliver outcomes aligned to business priorities and oversight expectations.
• Mentor and develop engineers and data scientists through technical leadership, reviews, and coaching to raise team capability and delivery velocity.
• Communicate complex technical concepts to both technical and non-technical audiences, influencing decisions through clarity, evidence, and pragmatism.

Skills

Python

PyTorch

Experimentation

Production deployment

Responsible AI

Software engineering

Stakeholder collaboration

Education

Master's degree in computer science, engineering, statistics, or related quantitative discipline

PhD in a relevant quantitative field or demonstrated applied research impact in machine learning or generative AI

Tools

Transformers

GPU workflows

Git/version control

Job description

JPMorgan Chase & Co. invites an Applied AI and Machine Learning Lead within the Data Science and AI team supporting our Technology organization.

You will drive generative AI and advanced analytics initiatives from research through production, leading foundation-model design, evaluation, and deployment to improve decision-making and automate work. You will partner with product, engineering, and risk stakeholders to define measurable outcomes, establish governance, and ensure scalable, robust, and