Amazon Senior Applied Scientist III AI Security Platforms 

United States, Washington, Seattle 

36052499

The platform will integrate deeply with internal security, engineering, and cloud-native tools to provide self-serve, automated security insights, verifications, and enforcement mechanisms. This role requires strong technical expertise in AI/ML, LLMs, and distributed cloud infrastructure, as well as thought leadership to drive alignment across multiple teams and business units.
Key job responsibilities
* Architect and define the next-generation autonomous AI security platform, leading the technical strategy for AI-driven security automation across applied science and engineering teams
* Lead the applied science team in exploring multi-agent LLM framework, and influence your organizations in adopting the promising approaches
* Develop a highly scalable, LLM-based intelligent security agent framework that enables internal teams to automate security analysis, generate application security reports, and enforce security policies.
* Combine depth and breadth of domain expertise and provide technical leadership to the entire team while also doing hands-on work by diving deep into details to diagnose complex system performance problems.
* Act as a technical mentor and leader, fostering a culture of innovation and security-first AI engineering.A day in the life

- 3+ years of building machine learning models for business application experience
- PhD, or Master's degree and 6+ years of applied research experience
- Experience programming in Java, C++, Python or related language
- Experience with neural deep learning methods and machine learning

- Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
- Experience with large scale distributed systems such as Hadoop, Spark etc.