Amazon.com Services LLC

Technology

MgrSecEng

$175–237k Austin, Texas, United States FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Manager candidates.

The Brief

“Mgr SecEng at Amazon.com Services LLC. Skills: AI Security, GenAI Security, Security Engineering Leadership. Lead strategic direction of GenAI Security. Set goals for GenAI Security”

Industry & Context.

Technology
Problems you'll solve

Root cause analysis

What They're Looking For.

Must Have

5+ years managing teams, 5+ years software security experience, Bachelor's degree in Computer Science, Knowledge of web services security, Knowledge of video content protection, Knowledge of cryptography, Knowledge of network security protocols, Knowledge of operating system security, Experience applying threat modeling, Experience applying risk identification techniques

Nice to Have

Information security professional certification, Master's degree in Computer Science, Knowledge of security design review, Knowledge of risk analysis, Knowledge of software testing techniques

What You'll Do.

Lead strategic direction of GenAI Security

Set goals for GenAI Security

Establish priorities for securing LLM integrations

Establish priorities for prompt engineering workflows

Establish priorities for AI model deployments

Set direction by driving strategic initiatives

Influence leadership and stakeholders

Partner with AI/ML teams

Develop healthy culture

Enable team to deliver results

Lead effective teamwork

Drive adoption of GenAI security processes

Drive adoption of automation

Drive adoption of tooling

Improve operational efficiency

Scale security reviews

Stay current with GenAI threats

Stay current with GenAI vulnerabilities

Maintain expertise in prompt injection prevention

Maintain expertise in model security

Maintain expertise in RAG security

Maintain expertise in AI supply chain security

Mentor individual contributors

Develop individual contributors

How You'll Work.

Team & Collaboration

Data science teams; ML engineering teams; Product teams; AI/ML teams

Communication Scope

Technical documentation

Full Job Description

Amazon's Artificial General Intelligence (AGI) organization's mission is to build world-class, general-purpose intelligence services that benefit every Amazon business and humanity. In AGI security, we make sure our AGI services and all applications that rely on them earn and keep our customers' trust. We partner with scientists, AGI builders, and teams across Amazon to ensure our models and GenAI applications are built securely by default. We are looking for an experienced security engineering leader to join the AGI/AI Security Team. As a manager, you will lead security engineers and technical program managers to solve novel security challenges that arise when Amazon builds and deploys Generative AI technologies. You'll help them develop their skills and their careers as you tackle emerging threats like prompt injection, model poisoning, data leakage, and adversarial attacks, while contributing to Amazon's overall security and privacy strategy for AI systems. Key job responsibilities - You will lead the strategic direction and evolution of GenAI Security processes, including setting goals and establishing priorities for securing LLM integrations, prompt engineering workflows, and AI model deployments. - You will set the direction for the team by driving strategic initiatives in AI security, influencing leadership, key stakeholders, and partnering with AI/ML teams throughout Amazon. - You will develop a healthy and collaborative culture and enable the team to deliver results in the rapidly evolving GenAI security landscape. - You will lead effective teamwork, communication, collaboration and commitment across multiple disparate groups with competing priorities, including data science, ML engineering, and product teams. - You will write and deliver high-quality documents for technical and non-technical audiences on complex GenAI security topics. A day in the life - You will drive the adoption of GenAI-specific security processes, automation, and tooling to improve op

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