JPMorgan Chase
Applied AI/ML - Vice President
Wilmington, DE · Director · Full-time · Posted Feb 25, 2026
- Experience
- 5+ years of experience in Machine Learning and Artificial Intelligence engineering.
- Education
- Bachelor’s degree or MS or PhD in a quantitative discipline, e.g. Computer Science, Mathematics, Operations Research, Data Science.
About the job
Leads the design, development, and production deployment of AI/ML and generative AI solutions, platforms, and agents for Home Lending products.
What you'll do
- Partner with product, data science, engineering, and other stakeholders to define requirements and deliver AI/ML solutions.
- Architect and operate cloud-native MLOps/LLMOps pipelines, distributed infrastructure, and systems for model deployment, monitoring, reliability, and scalability.
- Develop generative AI solutions, including LLMs, RAG, NLP, and AI agents, as well as classical ML models; communicate capabilities and results to varied audiences.
What they ask for
- Bachelor’s degree or MS or PhD in a quantitative discipline, e.g. Computer Science, Mathematics, Operations Research, Data Science.
- Experience developing and deploying business-critical machine-learning models in production.
- Proficiency in Python and integration with OpenAI API; hands-on experience with machine-learning frameworks, libraries, and APIs.
- Experience with cloud platforms, containers, orchestration tools, and architectural design, implementation, and performance optimization.
Nice to have
- Familiarity with financial services.
- Expertise in RAG pipelines, advanced prompting strategies, or ethical AI practices.
Tools
Python, OpenAI API, TensorFlow, PyTorch, Scikit-learn, AWS Bedrock, Transformers, LangChain/LngGraph
AI focus
Leads applied AI/ML and GenAI engineering, including LLMs, RAG, NLP, AI agents and chatbots, classical ML, production model deployment, and MLOps/LLMOps.
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