Generative AI & ML Lead for Production Analytics

Aumni; Jersey City (NJ); On-site; USD 180,000 - 260,000; Full time

Job summary

JPMorganChase, a leading global financial services firm, seeks an Applied AI and Machine Learning Lead within its Data Science and AI team to drive generative AI and analytics from research to production. You will design, evaluate, and deploy foundation-model and agentic AI capabilities to improve decision-making, automate work, and raise engineering standards.

You will partner with product, engineering, and risk stakeholders to define measurable outcomes, deliver scalable and governance-aligned

Qualifications

• Master’s degree in computer science, engineering, statistics, or a related quantitative discipline.
• 7+ years of applied experience building and deploying machine learning and generative AI solutions in production environments.
• Strong proficiency in Python and modern ML frameworks (e.g., PyTorch).
• Demonstrated ability to lead experimentation and evaluation, including defining metrics, running controlled comparisons, and documenting results for stakeholders.
• Experience deploying and operating models in production, including performance optimization, monitoring, and reliability trade-offs.
• Working knowledge of responsible AI practices, model risk concepts, and governance controls for regulated environments.
• Strong software engineering fundamentals, including version control, code review, 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 and agentic 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.

Education

Master’s degree in computer science or related quantitative discipline

PhD in a quantitative field (preferred)

Tools

Git

GPU-enabled development workflows

Job description

JPMorganChase, a leading global financial services firm, seeks an Applied AI and Machine Learning Lead within its Data Science and AI team to drive generative AI and analytics from research to production. You will design, evaluate, and deploy foundation-model and agentic AI capabilities to improve decision-making, automate work, and raise engineering standards.

You will partner with product, engineering, and risk stakeholders to define measurable outcomes, deliver scalable and governance-aligned