Sr. Applied AI Scientist – Generative AI & Agentic Systems
Core
Lead validation, research, and development of Generative AI and Agentic AI systems within a highly regulated financial environment.
Role type
Senior Applied AI Scientist (Model Risk Management)
Builds
Enterprise AI applications leveraging LLMs, RAG, and AI agents; scalable validation frameworks and testing methodologies.
Domain
Financial Services / Generative AI & Agentic Systems
Deliverable
production ML models
Required skills
Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI agents, Model validation, Quantitative analysis, Cloud AI platforms, Modern AI frameworks, Software engineering, Git, Risk and control mindset
Preferred skills
PhD in relevant discipline, Hands-on experience with enterprise AI tools, Ability to learn new technologies quickly
Technologies
LLMs, RAG, AI agents, Cloud AI platforms, Modern AI frameworks
Responsibilities
Validate Generative AI models and Agentic AI systems for conceptual soundness, output quality, and governance alignment; Architect and build enterprise AI applications; Develop scalable software solutions and automation capabilities; Design and execute quantitative testing and evaluation of AI models; Partner with stakeholders to define complex problems and translate them into AI solutions; Maintain documentation for governance and audit readiness.
Seniority
Senior, hands-on IC
