Enterprise AI Lead: Generative ML & Semantic Architect

JPMorgan Chase & Co.; Plano (TX); On-site; USD 180,000 - 240,000; Full time

Job summary

JPMorgan Chase & Co. in Plano, TX seeks an Applied AI and Machine Learning Lead to take generative AI from concept to production, shaping enterprise semantic standards and governance.

You will mentor talent and influence technical direction across Corporate Technology and supported Corporate Functions. You will build AI/ML systems, design semantic models, and collaborate with stakeholders to turn complex business needs into measurable outcomes.

Qualifications

• Master’s degree in a data science-related discipline and eight years of industry experience, or PhD in a data science-related discipline.
• Proven ability to write and maintain production-quality code, including documentation and maintainable design patterns.
• Experience building automated testing practices, including unit tests, and implementing CI pipelines.

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 that represent 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 that enables trusted analytics across business intelligence, machine learning, and transactional systems
• Enable intelligent workflows and AI agents using ontology-driven context, semantic reasoning, and orchestration approaches
• Build and maintain pipelines and frameworks for model training, evaluation, optimization, monitoring, and machine learning operations
• Implement responsible AI practices, model risk controls, and governance aligned to regulated environments
• Mentor engineers and data scientists, raising the bar on engineering rigor, reuse, and continuous improvement across the team

Skills

Python

CI pipelines

Unit testing

Data pipelines

Machine learning

Model deployment

Stakeholder communication

Problem solving

Mentoring

Documentation

Education

Master’s degree in data science-related discipline or PhD

Job description

JPMorgan Chase & Co. in Plano, TX seeks an Applied AI and Machine Learning Lead to take generative AI from concept to production, shaping enterprise semantic standards and governance.

You will mentor talent and influence technical direction across Corporate Technology and supported Corporate Functions. You will build AI/ML systems, design semantic models, and collaborate with stakeholders to turn complex business needs into measurable outcomes.