Enterprise AI Lead: Generative AI & Semantic Modeling

JPMorgan Chase & Co.; Jersey City (NJ); On-site; USD 180,000 - 270,000; Full time

Job summary

JPMorgan Chase & Co. seeks an Applied AI and Machine Learning Lead in Corporate Technology Data Science and AI to design, build, and deploy scalable generative AI solutions that deliver measurable business value.

You will translate business needs into production-ready models, set semantic standards, and mentor engineers while partnering with domain experts to improve trust and outcomes across analytics and AI use cases.

Qualifications

• Master’s or PhD in a data science-related field with 8+ years of experience.
• Proven experience deploying ML and generative AI solutions in Python.
• Ability to write production-quality, well-documented code.
• Experience building automated tests and CI pipelines.
• Experience building data pipelines and analytics workflows.
• Strong problem-solving and analytical skills with hypothesis-driven approach.
• Strong written and verbal communication for stakeholders.
• Ability to work independently in ambiguous environments.

Responsibilities

• Build generative AI and LLM solutions in Python from PoC to production with measurable outcomes.
• Design context engineering to improve model accuracy, latency, and user experience.
• Lead semantic modeling strategy, ontology standards, governance and lifecycle management.
• Collaborate with domain experts to create scalable ontologies representing entities and rules.
• Define semantic integration patterns across data pipelines, APIs, and data contracts.
• Establish a unified semantic layer enabling trusted analytics across BI, ML, and transactional systems.
• Enable intelligent workflows and AI agents using ontology-driven context and orchestration.
• Build and maintain pipelines for model training, evaluation, optimization, and MLOps.
• Implement responsible AI practices and model risk controls.
• Mentor engineers and data scientists to raise engineering rigor.

Skills

Python

ML deployment

CI pipelines

Data pipelines

Documentation

Stakeholder communication

Problem solving

Education

Master’s/PhD in data science

Tools

APIs

CI/CD tools

TensorFlow/PyTorch

Job description

JPMorgan Chase & Co. seeks an Applied AI and Machine Learning Lead in Corporate Technology Data Science and AI to design, build, and deploy scalable generative AI solutions that deliver measurable business value.

You will translate business needs into production-ready models, set semantic standards, and mentor engineers while partnering with domain experts to improve trust and outcomes across analytics and AI use cases.