Senior Applied AI & ML Leader - Enterprise Gen AI

Fairygodboss

Plano (TX)

On-site

USD 180,000 - 240,000

Full time

14 days+
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Job summary

JPMorganChase in Plano, TX seeks an Applied AI and Machine Learning Lead to take generative AI from concept to production, shaping semantic standards 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. If you enjoy solving hard problems with real impact, this is the opportunity.

Qualifications

  • Master's degree in a data science-related discipline or PhD.
  • Proven experience developing and deploying ML/genAI solutions in production.
  • Strong coding practices: production-quality code, documentation, tests.

Responsibilities

  • Build generative AI/LLM solutions from proof of concept to production with measurable outcomes.
  • Design context engineering to improve model accuracy, latency, reliability, UX.
  • Lead semantic modeling strategy, ontology standards and governance.
  • Partner with domain experts to create scalable ontologies for business entities, rules and constraints.
  • Define semantic integration patterns across data pipelines, APIs, data contracts, and UI layers.
  • Establish and govern a unified semantic layer for analytics across BI, ML, and transactional systems.
  • Enable intelligent workflows and AI agents using ontology-driven context and orchestration.
  • Maintain pipelines for model training, evaluation, and MLOps.

Skills

Python
Machine learning
Gen AI
Data pipelines
Semantic modeling
Communication
Mentoring
Problem solving
Independent work

Education

Master's or PhD in data science-related discipline

Job description

JPMorganChase in Plano, TX seeks an Applied AI and Machine Learning Lead to take generative AI from concept to production, shaping semantic standards 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. If you enjoy solving hard problems with real impact, this is the opportunity.

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