Leads AI security strategy, architecture, governance, and defensive controls across the organization while mentoring security engineers. Requires 9+ years of security engineering experience and deep knowledge of AI, AWS security services, identity protocols, and emerging AI attack frameworks.
Salary not listed
Remote9+ YOESecurity Engineering
About the role
Responsibilities
Track trends, models, and innovations in AI security and advise on appropriate architectures.
Partner with Engineering and Application Security teams to secure AI use across the platform.
Securely enable internal AI productivity initiatives in collaboration with Architecture.
Protect against AI-based attacks and threats, including supply-chain compromises.
Advise on or implement AI guardrails and controls to reduce data-loss risks and prevent insecure or unapproved AI use.
Guide and mentor Security teams on using AI for security benefits.
Maintain AI governance documentation and employee guidance.
Lead complex, project-driven security enhancements across infrastructure, applications, and corporate environments.
Architect, build, and deploy scalable, resilient security solutions with engineering and product teams.
Build tools, guardrails, and automated workflows that enable secure software delivery.
Identify security-posture gaps, design remediation plans, and execute them to maturity.
Advise engineering, product, and R&D teams on security enablement.
Mentor junior and mid-level engineers.
Requirements
9+ years of dedicated experience in security engineering, application security, infrastructure security, data security, or cloud security.
Proven ability to turn ambiguous security problems into structured project plans and deliver them to completion.
Strong attention to detail, analytical ability, curiosity, and interest in information security.
Ability to build effective relationships and collaborate with internal and external partners.
Excellent verbal and written communication skills.
Deep expertise in AI, including AWS services, large language models, MCP, agentic agents, frameworks, governance and regulations, attacks, guardrails, and cost considerations.
Experience with Amazon Web Services, especially AWS security services.
Strong understanding of authentication and authorization protocols, including securing non-human identities.
Nice to Have
Software engineering background.
AI security certification such as AAISM, AAIA, or CAISP.
Knowledge of the NIST AI Framework or EU Artificial Intelligence Act.
Experience with MITRE ATLAS or the OWASP Top 10 for LLMs.
Bachelor's or master's degree focused on information systems, computer science, or security.
Skills
ai securityAWSamazon web servicesLLMsmcpai guardrailsai governanceAuthenticationauthorizationnon-human identity securitynist ai frameworkmitre atlasowasp top 10 for llmssecurity architecturesecurity automation
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