Principal Applied Scientist, AWS Agentic AI
Core
Lead research and development in generative AI and Agentic AI to build intelligent agents that automate multi-step workflows and perform complex reasoning for enterprise users.
Role type
Principal Applied Scientist (Agentic AI & Generative AI)
Builds
Multi-modal foundation models, state-of-the-art LLMs, and scalable systems for intelligent agents.
Domain
Enterprise Generative AI, Agentic AI, Large Language Models
Deliverable
production ML models
Required skills
PhD in ML/CS/EE or Master's with 5+ years experience, model training and fine-tuning, generative AI system architecture, peer-reviewed publications or patents, Python proficiency, NLP/LLMs/CV/Agentic AI expertise
Preferred skills
Enterprise multi-modal task application, agentic architectures and task orchestration, scalable ML infrastructure and distributed training, AI safety and hallucination mitigation, mentoring junior scientists, strategic communication, shipping scientific innovations to production
Technologies
LLMs, multi-modal foundation models, Python, RAG
Responsibilities
Architect systems that scale efficiently across domains, blend science leadership with hands-on innovation, collaborate with engineering teams to bring research into production
Seniority
Principal, strategy & mentorship
