Enterprise AI Lead: Generative & Semantic ML Architect

Next Frontier Capital; Plano (TX); On-site; USD 150,000 - 230,000; Full time

Benefits offered by this job

Health care

Retirement savings plan

Tuition reimbursement

Mental health support

Financial coaching

Job summary

JPMorgan Chase & Co. is seeking an Applied AI and Machine Learning Lead to take generative AI from concept to production, shaping semantic consistency across systems and partnering with stakeholders to deliver measurable outcomes.

You will mentor talent and influence technical direction across Corporate Technology and supported Corporate Functions. You will build and deploy AI solutions in Python, lead semantic modeling and governance, and drive responsible AI practices across regulated

Qualifications

• Master’s degree in a data science-related discipline with eight years of industry experience, or PhD in a data science-related discipline.
• Demonstrated experience developing and deploying machine learning 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 processing workflows for analytics and ML use cases.
• Strong scientific thinking and structured problem-solving skills with metric definition.
• Strong written and verbal communication skills for technical and non-technical stakeholders.
• 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 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 BI, ML, 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 MLOps.
• 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.

Skills

Python

Production-quality code

CI pipelines

ML/DL deployment

Data pipelines

Communication

Problem solving

Independent contributor

Cross-functional collaboration

Education

Master’s degree in data science-related discipline

PhD in data science-related discipline

Tools

TensorFlow

PyTorch

Jenkins

Docker

Kubernetes

Job description

JPMorgan Chase & Co. is seeking an Applied AI and Machine Learning Lead to take generative AI from concept to production, shaping semantic consistency across systems and partnering with stakeholders to deliver measurable outcomes.

You will mentor talent and influence technical direction across Corporate Technology and supported Corporate Functions. You will build and deploy AI solutions in Python, lead semantic modeling and governance, and drive responsible AI practices across regulated