Enterprise AI Lead: Generative ML & Semantic Solutions

JPMorgan Chase & Co.; Plano (TX); On-site; USD 180,000 - 270,000; Full time

Job summary

JPMorgan Chase & Co. invites applications for an Applied AI and Machine Learning Lead within Corporate Technology Data Science and AI. You will drive generative AI from concept to production, set semantic standards across systems, and collaborate with stakeholders to translate complex business needs into measurable outcomes.

You will mentor talent and influence technical direction. If you enjoy solving hard problems with real impact, this is the opportunity.

Qualifications

• Master's or PhD in data science related discipline with eight years of industry experience.
• Experience deploying ML and generative AI solutions using Python.
• Production-quality code with documentation and maintainable design patterns.
• Experience building automated testing practices, including unit tests and CI pipelines.
• Experience building and managing data pipelines and ML workflows for analytics and ML use cases.
• Strong analytical thinking and metric definition.
• Excellent written and verbal communication with technical and non-technical stakeholders.
• Proven ability to work independently while collaborating across product, engineering, data, and business partners.

Responsibilities

• Build generative AI, agentic AI, and large language model solutions in Python from proof of concept through production deployment with measurable outcomes.
• Design context engineering approaches to improve model accuracy, latency, reliability, and end-to-end user experience.
• Lead enterprise semantic modeling strategy, including ontology standards, governance practices, and lifecycle management.
• Partner with domain experts to create scalable ontologies representing business entities, relationships, rules, and constraints.
• Define semantic integration patterns across data pipelines, APIs, data contracts, and experience layers to resolve semantic conflicts.
• 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 orchestration approaches.
• Build and maintain pipelines and frameworks for model training, evaluation, optimization, monitoring, and MLOps.
• Implement responsible AI practices, model risk controls, and governance in regulated environments.
• Mentor engineers and data scientists, raising the bar on engineering rigor and reuse.

Skills

Python

Machine learning

Production code

CI/CD

Leadership

Ontology design

RAG techniques

Stakeholder comms

Education

Master's degree in data science

PhD in data science

Job description

JPMorgan Chase & Co. invites applications for an Applied AI and Machine Learning Lead within Corporate Technology Data Science and AI. You will drive generative AI from concept to production, set semantic standards across systems, and collaborate with stakeholders to translate complex business needs into measurable outcomes.

You will mentor talent and influence technical direction. If you enjoy solving hard problems with real impact, this is the opportunity.