AI Security Architect
Job in
Seattle, King County, Washington, 98101, USA
Listed on 2026-08-10
Listing for:
Qualtrics
Full Time
position Listed on 2026-08-10
Job specializations:
-
IT/Tech
Cybersecurity, AI Engineer (Applied/Software), Information Security & Data Protection
Job Description & How to Apply Below
AI Security Architect
AI systems face threats that traditional security architecture wasn't built for: adversarial manipulation, model theft, data poisoning, prompt injection, and supply-chain risk across the ML pipeline. The AI Security Architect leads the design and implementation of security frameworks that protect our AI systems — building resilience against these threats and earning our customers' trust.
How You'll Find Success
- Strategic Visionary:
You hold a holistic view of AI/ML threat models, proactively identifying and mitigating emerging risks. You guide security architecture strategy so it aligns with the organization's risk posture and business goals. - Technical Innovator:
Your drive for continuous improvement pushes you to explore and implement cutting-edge AI security practices — adversarial robustness testing, model hardening, secure MLOps — keeping our AI systems resilient against evolving threats. - Collaborative Leader:
You build partnerships across security, engineering, and data science, promoting best practices in AI security. Your ability to foster collaboration creates an informed, cohesive environment dedicated to protecting our systems. - Resilient and Adaptive:
You thrive in a fast-paced environment, managing complex projects while guiding cross-functional teams through shifts in the threat landscape or technology. Your problem-solving skills are essential to navigating the complexities of AI security governance.
How You'll Grow
- Shape Industry Standards:
Participate in industry conferences, thought leadership forums, and professional organizations to influence the future of AI security practices. - Executive Presence:
Increase your visibility and involvement in executive-level discussions, refining how you communicate strategic security insights. - Expand Your Leadership Toolkit:
As a thought leader in AI security architecture, mentor and coach emerging talent, growing the security expertise across the organization. - Complex Problem-Solving:
Tackle significant AI security challenges that sharpen your analytical, critical thinking, and strategic planning abilities.
Things You'll Do
- Drive Innovation in AI Security:
Lead research, evaluation, and implementation of next-generation security technologies and methodologies — adversarial defense, model security, secure MLOps pipelines — that support our AI solutions. - Conduct Security Reviews:
Perform security reviews of AI products and proposed designs, including architectures built on Model Context Protocol (MCP) and agentic AI systems, identifying risks such as tool-use abuse, unauthorized action-taking, and insecure agent-to-agent or agent to-tool communication. - Develop Standards & Reference Architectures:
Author AI-related technical security standards, guardrails, and reference architectures that give product and engineering teams a secure, repeatable blueprint for building and deploying AI systems. - Shape Security Strategy:
Develop a comprehensive AI security strategy that aligns with the organization's risk profile and business objectives. - Manage Complex Projects:
Oversee execution of large-scale AI security initiatives, ensuring on-time, on-budget delivery while proactively addressing risks and fostering adaptability within teams. - Foster a Culture of Excellence:
Create an environment that promotes knowledge sharing, collaboration, and continuous learning. Mentor colleagues to build a high-performing team committed to our security objectives.
What We're Looking For On Your Resume
- While we value the wealth of experience, we put more emphasis on your capability and the outcome you've produced. For this role, these elements are particularly important:
- Extensive Architectural Expertise: 5+ years of experience in AI/ML security, cybersecurity architecture, or a related field, with a proven history of designing secure architectures for AI systems; capable of leading strategic initiatives to strengthen security posture.
- Technical Expertise:
Strong understanding of AI/ML security adversarial machine learning, model security, threat modeling, secure MLOps — and familiarity with encryption and secure system design. - Demonstrated Initiative Leadership:
Proven…
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