Principal Applied Scientist
Core
Define and drive applied AI strategy for agentic AI and Generative AI systems, focusing on model evaluation, routing, agent behavior, and context engineering to shape customer experience products.
Role type
Principal Applied Scientist (Strategy & Hands-on IC)
Builds
Agentic AI systems, LLM workflows, and production-ready conversational AI solutions for enterprise brands.
Domain
Enterprise Conversational AI / Generative AI / Agentic Systems
Deliverable
production ML models
Required skills
Applied AI strategy, LLM and Generative AI systems, agent-based systems, multi-step LLM workflows, model evaluation and benchmarking, model optimization, prototype and experiment, production system deployment, technical leadership, ambiguous problem ownership
Preferred skills
Model routing, fine-tuning, open-weight models, human-in-the-loop evaluation
Technologies
LLMs, Generative AI, Agentic AI frameworks
Responsibilities
Define and lead applied AI initiatives across agent systems and LLM evaluation; Own ambiguous problem spaces end-to-end from framing to production impact; Design and implement evaluation and benchmarking frameworks; Drive innovation in agentic systems including routing and memory; Prototype and validate new approaches; Translate research into production-ready solutions; Act as a technical authority and multiplier; Establish and lead the Applied Science guild; Influence product and technical strategy
Seniority
Principal, strategy & mentorship
