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# Applied Artificial Intelligence/ Machine Learning Lead - Vice President

- **Company:** JPMorgan Chase & Co.
- **Location:** Jersey City, NJ, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Computer-Aided Design, Artificial Intelligence, Big Data, Distributed Data Store, Apache Hive, Machine Learning, Tensorflow, Standard Sql, Pytorch, Large Language Models, Prompt Engineering, Apache Spark, Scikit Learn, Information Technology, Machine Learning Operations
- **Published:** September 7, 2026
- **Apply:** https://find.jobs/jobs-near-me/apply/ats-redirect/?id=2953250433-2

## About the Role

* Master's or PhD in Computer Science, Statistics, Applied Math, Data Science, or related quantitative field
 * Atleast 5 years of hands-on ML experience in production environments.
 * Deep expertise in NLP, including modern LLM fine-tuning, RAG pipelines, prompt engineering and the design and deployment of multi-step AI agents
 * Strong Python skills; proficiency with PyTorch, TensorFlow, Scikit-learn and other libraries
 * Experience with large-scale data processing: Spark, Hive, SQL
 * Proven ability to communicate technical work to non-technical stakeholders

Preferred qualifications, capabilities, and skills:

 * Financial services experience

## Description

As an Applied AI/ML Vice President within Global Private Bank, you'll own the full lifecycle of high-impact models serving clients across wealth management, lending, and advisory - from problem framing with business stakeholders to production deployment at scale. You'll work on some of the most data-rich, complex client problems in financial services - with the infrastructure and resources of one of the world's largest institutions behind you. We're building AI-native capabilities at the intersection of cutting-edge research and real-world impact., * Define and scope AI/ML problem statements in partnership with Private Bank business leads, translating ambiguous client or operational pain points into tractable modeling problems

 * Design, build, and deploy end-to-end ML solutions - including generative AI, NLP, and classical machine learning - across client service, risk, and operational efficiency use cases
 * Own model quality, evaluation frameworks, monitoring, drift detection, and iteration post-deployment
 * Drive productionization and MLOps practices in collaboration with engineering, working across distributed data infrastructure
 * Stay current on applied research; evaluate and adapt emerging techniques - new architectures, agentic frameworks, multimodal models - for relevance to the Private Bank's problem space and translate promising work into production-ready solutions
 * Mentor junior data scientists and help set technical standards for the team
 * Collaborate across JPMorganChase's broader AI/ML community, model risk, compliance, and peer LOBs to align on standards, share learnings, and amplify the team's impact firm-wide


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