Principal Applied Scientist, AWS Agentic AI

What you'll do

• Build and optimize multimodal foundation models; train and fine-tune LLMs.
• Architect scalable AI systems and bring research into production with engineering teams.
• Lead generative AI and Agentic AI research and development.

What they ask for

• PhD in Machine Learning, Computer Science, Electrical Engineering, or a related technical field, or a Master’s degree with 5+ years of relevant industry or research experience.
• Industry experience developing machine learning models for real-world applications and experience with generative AI.
• Peer-reviewed AI/ML publications or granted patents; proficiency in Python or similar programming languages.
• Experience in at least one of NLP, LLMs, computer vision, or Agentic AI.

Nice to have

• Applying generative AI to enterprise or multimodal tasks; knowledge of agentic architectures, AI safety, hallucination mitigation, or RAG.
• Scalable ML infrastructure, distributed training, large-model optimization, mentoring, or shipping scientific innovations into products.

Pay

228,700.00 - 309,400.00 USD annually (base salary); 218,800.00 - 295,900.00 USD annually (base salary); 198,900.00 - 269,000.00 USD annually (base salary)

Tools

Python, NLP, LLMs, Agentic AI, RAG

AI focus

Generative AI and Agentic AI research and development, including multimodal foundation models, LLM training and fine-tuning, complex reasoning, and workflow automation.