Sr Scientist, Agentic AI, AWS Governance
Core
Building scalable AI/ML systems for security and governance, specifically fine-tuning Natural Language Inference (NLI) models, framework decomposition, and evidence auto-linking to produce compliance verdicts.
Role type
Senior Applied Scientist (Agentic AI & Governance)
Builds
Customer-visible compliance verdicts via NLI models and agentic systems
Domain
Security, Governance, AI/ML
Deliverable
production ML models
Required skills
Java, C++, Python, Machine Learning model building, Natural Language Inference (NLI), Framework decomposition, Evidence auto-linking
Preferred skills
Generative AI and LLMs (fine-tuning, prompting, retrieval), Evaluation frameworks for subjective tasks, Synthetic data generation, Agentic and multi-turn systems, RL-based post-training (RLHF/RLAIF/GRPO), Environment simulation, Agent harness evaluation
Technologies
Java, C++, Python, LLMs, RLHF, RLAIF, GRPO
Responsibilities
Fine-tune NLI models, design framework decomposition strategies, implement evidence auto-linking, build agentic systems for compliance, develop evaluation frameworks for subjective tasks, generate synthetic data for model training
Seniority
Senior, hands-on IC