JPMorgan Chase
Applied AI ML Lead - Generative AI and Semantic Modeling
$171K–$260K
Jersey City, NJ · Full-time · Posted Jul 14, 2026
- Experience
- Master’s degree route: 8 years of industry experience; alternatively, a PhD in a data science-related discipline.
- Education
- Master’s degree in a data science-related discipline and 8 years of industry experience, or a PhD in a data science-related discipline.
About the job
Leads the development and deployment of production-ready generative AI and machine-learning solutions, while establishing enterprise semantic modeling standards and a unified semantic layer.
What you'll do
- Develop and deploy generative AI, agent-based AI, and LLM solutions; build supporting training, evaluation, monitoring, and production frameworks.
- Lead ontology strategy and governance, and create semantic integration patterns and a unified semantic layer.
- Apply responsible AI and model-risk controls, and collaborate with stakeholders to align solutions with business objectives.
What they ask for
- Master’s degree in a data science-related discipline and 8 years of industry experience, or a PhD in a data science-related discipline.
- Hands-on experience developing and deploying machine-learning and generative AI solutions using Python.
- Experience with continuous integration, unit testing, and production-quality code.
- Experience building and managing data pipelines and processing workflows for analytical and machine-learning use cases.
Nice to have
- Experience building LLM applications using context engineering.
- Background in enterprise semantic modeling, ontology design, and governance.
Pay
USD 171,000.00-$260,000.00 base salary
Tools
Python
AI focus
Develop generative AI, agent-based AI, and LLM applications; improve model performance through context engineering; enable ontology-driven AI agents and workflows; and implement evaluation, monitoring, responsible AI, and model-risk practices.
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