Senior AI Security Scientist — Real-Time & AGI Safety

Amazon Inc.; New York (NY); On-site; USD 184,000 - 249,000; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Parental leave

Employee Assistance Program (EAP)

Mental health support

Job summary

Amazon is seeking a Senior Applied Scientist to lead research and development of novel security validation and monitoring techniques for AI systems at scale. You will own and contribute to four critical workstreams: real-time agent monitoring, MCP server validation, AI-enabled application validation, and AI asset discovery across the company.

The role involves implementing complex security solutions, publishing findings where appropriate, and guiding cross‑team efforts while mentoring other

Qualifications

• PhD, or Master’s degree and 5+ years of applied research experience.
• Experience programming in Java, C++, Python or related language.
• 5+ years of building machine learning models for business applications.
• Experience with neural deep learning methods and machine learning.

Responsibilities

• Identify and frame new AI security research challenges at the product level.
• Drive the scientific agenda for agent monitoring, validation research, and AI asset discovery; propose initiatives and secure leadership buy‑in.
• Publish research results at peer‑reviewed venues when appropriate.
• Articulate key scientific challenges of AI security threats and present interventions to address them.
• Lead the design, implementation, and delivery of security solutions into production.

Skills

Java

C++

Python

ML models

Deep learning

Education

PhD or Master’s + 5+ years applied research

Tools

R

scikit-learn

Spark MLLib

MxNet

TensorFlow

NumPy

SciPy

Hadoop

Spark

Job description

Amazon is seeking a Senior Applied Scientist to lead research and development of novel security validation and monitoring techniques for AI systems at scale. You will own and contribute to four critical workstreams: real-time agent monitoring, MCP server validation, AI-enabled application validation, and AI asset discovery across the company.

The role involves implementing complex security solutions, publishing findings where appropriate, and guiding cross‑team efforts while mentoring other