Senior Enterprise AI/ML Architect

JPMorgan Chase; Jersey City (NJ); On-site; USD 150,000 - 230,000; Full time

Job summary

JPMorganChase is seeking an Applied AI and Machine Learning Sr. Associate within the Corporate Technology Data Science and AI team in Jersey City, NJ. The role focuses on taking generative AI from concept to production, shaping semantic consistency, and delivering measurable outcomes by partnering with stakeholders.

You will mentor talent, influence technical direction, and work across Corporate Technology and supported Corporate Functions to tackle hard problems with real impact.

Qualifications

• Master's degree in a data science-related discipline and 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/CD pipelines.
• Experience building and managing data pipelines and processing workflows for analytics and ML use cases.
• Strong analytical and problem-solving skills with clear written and verbal communication.
• 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 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

Machine Learning

Generative AI

Production-quality code

CI/CD

Data pipelines

Stakeholder communication

Education

Master's degree in data science

PhD in data science

Tools

TensorFlow

PyTorch

Kubernetes

SQL

Job description

JPMorganChase is seeking an Applied AI and Machine Learning Sr. Associate within the Corporate Technology Data Science and AI team in Jersey City, NJ. The role focuses on taking generative AI from concept to production, shaping semantic consistency, and delivering measurable outcomes by partnering with stakeholders.

You will mentor talent, influence technical direction, and work across Corporate Technology and supported Corporate Functions to tackle hard problems with real impact.