Compare your current skills to what this opportunity needs—we'll show you what you already have and what could strengthen your application.
Job Description
Job Title:
Principal Applied AI scientist
Location:
Hybrid (3 days/week) -
Dallas, TX or Charlotte, NC Duration:
7 Months Overview Seeking a Principal Applied AI Scientist / Quant Engineer to design, develop, and scale Generative AI and Agentic AI solutions for Testing, Monitoring & Audit Technology within Enterprise Risk, Audit & Finance Technology (ERAFT). The role focuses on building AI-powered applications, reusable frameworks, and governance solutions that accelerate testing, monitoring, analytics, and audit processes. Responsibilities Design and optimize GenAI applications using agentic frameworks and tools Build automated data, prompting, and evaluation pipelines Develop reusable AI patterns, blueprints, and automation frameworks Lead AI engineering initiatives and enterprise AI adoption strategies Build and scale LLM platforms, real-time analytics, and intelligent decision-making systems Develop AI monitoring, explainability, and performance tracking frameworks Drive AI integration with enterprise systems and cloud platforms Lead AI governance, compliance, risk mitigation, and technical workstreams Required Skills LLMs, Generative AI, Agentic AI, AI Engineering RAG (Retrieval-Augmented Generation) Knowledge Graphs & Semantic Matching Prompt Engineering, Model Tuning, AI Safety AI Infrastructure, GenAI Ops (LLMOps) Python, C#, Backend Development Evaluation-Driven Development & Error Analysis Enterprise AI Governance & Compliance