Applied Artificial Intelligence Machine Learning Lead Vice President

As an Applied AI/ML Vice President within Global Private Bank youll 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. Youll work on some of the most data-rich complex client problems in financial services with the infrastructure and resources of one of the worlds largest institutions behind you. Were building AI-native capabilities at the intersection of cutting-edge research and real-world impact.

Job Responsibilities:

• 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 Banks problem space and translate promising work into production-ready solutions
• Mentor junior data scientists and help set technical standards for the team
• Collaborate across JPMorganChases broader AI/ML community model risk compliance and peer LOBs to align on standards share learnings and amplify the teams impact firm-wide

Required Qualifications:

• Masters 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 with Masters or 3years with PhD
• 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:

• Financial services experience