Applied Scientist, Agentic AI, AWS Governance
Core
Build and maintain the Natural Language Inference (NLI) model and agent-context systems for AWS Governance, Risk, and Compliance (GRC) to ensure accurate compliance verdicts for customers and auditors.
Role type
Applied Scientist (NLP/ML)
Builds
Production NLI models, evidence auto-linking systems, and agent-context capabilities for compliance frameworks.
Domain
Cloud Infrastructure / Governance, Risk, and Compliance (GRC)
Deliverable
production ML models
Required skills
Predictive modeling, Large data analysis, NLP, LLM post-training, Reinforcement Learning, Deep Learning, Algorithms and data structures, Parallel and distributed computing, High-performance computing, LLM techniques
Preferred skills
PhD in CS/ML, Agentic systems with LLMs (Strands Agent, LangGraph), Communication with executives, Computer Vision, Numerical optimization
Technologies
Java, C++, Python, LLM frameworks (Strands Agent, LangGraph)
Responsibilities
Fine-tune, calibrate, and monitor production NLI models; Design framework decomposition pipelines; Build evidence auto-linking systems using ranking and embedding techniques; Establish labeling standards and evaluation methods; Develop agent-context capabilities for retrieval and hallucination measurement.
Seniority
Mid-level, hands-on IC