Senior Applied AI & ML Lead — Enterprise GenAI & Semantics

JPMorganChase; Plano (TX); On-site; USD 170,000 - 260,000; Full time

Job summary

JPMorganChase in Plano, TX is seeking an Applied AI and Machine Learning Lead to advance enterprise AI initiatives. You will translate business needs into measurable AI outcomes, mentor talent, and influence technical direction across Corporate Technology and related functions.

The role requires leading the design and deployment of AI/ML systems, ensuring semantic consistency, and partnering with stakeholders to deliver production-ready solutions in a regulated environment.

Qualifications

• Master's degree or PhD in a data science-related discipline.
• Demonstrated experience developing and deploying machine learning and generative AI solutions using Python.
• 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 continuous integration pipelines.
• Experience building and managing data pipelines and processing workflows for analytics and machine learning use cases.
• Strong scientific thinking and structured problem-solving skills, including hypothesis-driven analysis and metric definition.
• Strong written and verbal communication skills, with the ability to explain complex concepts to technical and non-technical stakeholders.
• Demonstrated ownership and attention to detail when operating in ambiguous, complex problem spaces.
• Ability to work independently while collaborating effectively 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 ML 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

ML deployment

Leadership

Stakeholder comms

CI/CD

Data pipelines

Problem solving

Documentation

Education

Master's or PhD in data science-related discipline

Job description

JPMorganChase in Plano, TX is seeking an Applied AI and Machine Learning Lead to advance enterprise AI initiatives. You will translate business needs into measurable AI outcomes, mentor talent, and influence technical direction across Corporate Technology and related functions.

The role requires leading the design and deployment of AI/ML systems, ensuring semantic consistency, and partnering with stakeholders to deliver production-ready solutions in a regulated environment.