Vice President — Principal Applied AI Data Scientist
On-site · Jersey City, New Jersey, United States
Job Summary
Vice President – Principal Applied AI Data Scientist will lead the design, deployment, and scaling of large language model agents and AI-driven solutions across Finance workflows. Responsibilities include defining the roadmap for agentic AI, identifying high-value use cases, leading cross-functional teams, architecting and scaling LLM agents for finance processes, building data and inference pipelines in Python/SQL, integrating agents with APIs and cloud platforms, leveraging vector databases and distributed compute, driving Gen AI initiatives, mentoring teams, fostering innovation, translating model outputs into actionable insights, and communicating complex concepts to senior stakeholders with compelling visualizations.
Required Qualifications
- 8+ years in data/ML roles, including 4+ years building and operating production ML applications; hands-on experience with LLMs
- Strong Python and SQL
- Practical knowledge of RAG, prompt engineering, fine-tuning, function/tool calling, and vector stores
- Experience with cloud platforms (e.g., AWS, Azure, or GCP) and modern data stacks (e.g., Databricks or Snowflake)
- Familiarity with LLM frameworks and orchestration (e.g., LangChain or LlamaIndex) and REST/GraphQL API design
- Proficiency in analytics and applied statistics; ability to design experiments and evaluate business impact
- Excellent communication and stakeholder management; comfort working across Finance, Technology, and Operations
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