Enterprise AI & ML Lead - Generative & Semantic Solutions

JPMorgan Chase; Jersey City (NJ); On-site; USD 180,000 - 240,000; Full time

Job summary

JPMorgan Chase is seeking an Applied AI and Machine Learning Lead to translate business needs into production-ready AI solutions within Corporate Technology Data Science and AI.

You will design scalable generative AI systems, establish semantic modeling standards, and partner with stakeholders to deliver measurable business value while mentoring engineers and data scientists across the organization.

Qualifications

• Master's degree in a data science-related discipline with 8+ years of industry experience, or a PhD in a data science-related discipline.
• Proven experience developing and deploying ML and generative AI solutions using Python.
• Production-quality coding skills with documentation and maintainable patterns.
• Experience building automated testing practices and CI pipelines.
• Experience building data pipelines and processing workflows for analytics and ML use cases.
• Strong analytical thinking and problem-solving abilities with metric definition.
• Excellent written and verbal communication, able to explain complex concepts to both technical and non-technical stakeholders.
• Demonstrated ownership and attention to detail in ambiguous, complex spaces.
• Ability to work independently while collaborating across product, engineering, data, and business partners.

Responsibilities

• Build generative AI, agentic AI, and LLM solutions in Python from proof of concept to production with measurable outcomes.
• Design context engineering approaches to improve model accuracy, latency, and reliability.
• Lead enterprise semantic modeling strategy, including ontology standards and governance.
• Collaborate with domain experts to create scalable ontologies representing entities, relationships, rules, and constraints.
• Define semantic integration patterns across data pipelines, APIs, data contracts, and experience layers.
• Establish and govern a unified semantic layer for trusted analytics across BI, ML, and transactional systems.
• Enable intelligent workflows and AI agents using ontology-driven context and semantic reasoning.
• Build and maintain pipelines for model training, evaluation, optimization, monitoring, and ML ops.
• Implement responsible AI practices, model risk controls, and governance in regulated environments.
• Mentor engineers and data scientists to improve engineering rigor and reusable code.

Skills

Python

Machine learning

Generative AI

Semantic modeling

Context engineering

Leadership

Education

Master's degree in data science

PhD in data science

Tools

Python

Job description

JPMorgan Chase is seeking an Applied AI and Machine Learning Lead to translate business needs into production-ready AI solutions within Corporate Technology Data Science and AI.

You will design scalable generative AI systems, establish semantic modeling standards, and partner with stakeholders to deliver measurable business value while mentoring engineers and data scientists across the organization.