Senior AI Governance Architect

Amazon Inc.; Santa Clara (CA); Presencial; USD 192.000 - 260.000; Jornada completa

Descripción de la vacante

Amazon Science in Santa Clara, CA seeks an Applied Scientist III to own the technical vision for an AI-based governance platform at scale. You will lead a multi-agent LLM framework, mentor scientists, and collaborate with engineering teams to enable automated governance across accounts.

The role demands deep expertise in ML/AI, distributed systems, and a passion for building enterprise-grade governance tooling that improves security and operational integrity.

Formación

• PhD or Master’s degree with 6+ years of applied research experience.
• Experience programming in Java, C++, Python or related language.

Responsabilidades

• Own and define the next-generation governance intelligence and policy-matching platform, setting the multi-year technical strategy for AI-driven governance automation across applied science and engineering teams and resolving the hardest, most ambiguous problems in the space.
• Build on and advance a multi-agent LLM framework for autonomous governance operations, and influence partner organizations to adopt the most promising approaches - including human-in-the-loop enforcement boundaries that cannot be bypassed by autonomous agents.
• Develop a highly scalable intelligent governance agent framework - combining traditional ML and LLM-based techniques - that enables internal teams to automate validation, classification, and enforcement across structured and unstructured policy and account data.
• Provide technical leadership and scientific mentorship across the broader organization - raising the bar on science quality, growing other scientists and engineers, and representing the team's technical direction to senior leadership - while still diving deep hands-on to diagnose complex system performance and correctness problems in distributed governance control planes.
• Define the scientific metrics, evaluation methodology, and quality bar by which the platform's governance decisions are measured and trusted.

Conocimientos

Java

C++

Python

Applied Research

Educación

PhD

Master's degree

Herramientas

R

scikit-learn

Spark MLLib

MxNet

Tensorflow

numpy

scipy

Hadoop

Spark

Descripción del empleo

Amazon Science in Santa Clara, CA seeks an Applied Scientist III to own the technical vision for an AI-based governance platform at scale. You will lead a multi-agent LLM framework, mentor scientists, and collaborate with engineering teams to enable automated governance across accounts.

The role demands deep expertise in ML/AI, distributed systems, and a passion for building enterprise-grade governance tooling that improves security and operational integrity.