Okay, I've searched for Distinguished Engineer positions in AI Security in Irving, TX, for full-time roles requiring 8+ years in cybersecurity architecture and a Bachelor’s degree. I have found 23 relevant positions for you.

Sure. Here's the analysis:

Job Analysis:

This role of Distinguished Engineer, AI Security at Verizon situates an expert-level individual contributor at the heart of securing AI and ML systems critical to the company's evolving technology landscape. The core mission is to design, implement, and continuously improve a comprehensive AI security framework that addresses emerging threats from model tampering to adversarial attacks across multi-cloud environments (AWS, GCP, Azure, and on-prem). This requires not only deep technical expertise in machine learning workflows, threat modeling (such as STRIDE and LINDDUN), and secure AI architecture but also the ability to translate complex security risks into accessible language for stakeholders across technical and non-technical tiers, including executives. The role inherently involves navigating a fast-moving, complex intersection of AI innovation and cybersecurity, demanding precision in automation tooling, alignment with regulatory frameworks like NIST AI RMF, and effective collaboration with data scientists, engineers, product managers, and governance teams. Success demands strong critical thinking, proactive threat anticipation, and influence skills to embed security as a foundational element in Verizon’s AI lifecycle. Over the initial 6–12 months, success likely looks like establishing baseline AI security reference architectures, integrating security into MLOps pipelines, and building trusted partnerships to elevate Verizon's AI risk posture and accelerate secure AI adoption enterprise-wide.

Company Analysis:

Verizon is a globally recognized leader in telecommunications and technology innovation, positioning itself not only as a traditional service provider but as a forward-thinking driver of digital transformation—especially in AI and cybersecurity domains. Its culture emphasizes empowerment, openness to daring ideas, and community collaboration, suggesting an environment that supports innovation while valuing mutual trust and inclusion. The mention of the 'V Team' highlights a collaborative ethos where listening and learning are prized, aligning well with a role that demands cross-functional partnership and leadership without direct managerial authority. Verizon’s hybrid work environment further reflects flexibility while maintaining structured collaboration. For a Distinguished Engineer in AI Security, this culture means thriving requires both technical excellence and the interpersonal acumen to influence diverse teams and senior leaders in a fast-paced, highly regulated industry. Organizationally, this role answers directly into AI Security Services but interfaces widely with cybersecurity, AI governance, and infrastructure groups, shaping strategic risk management efforts tied to Verizon’s business imperative to safely scale AI solutions. In sum, the role is a strategic hire aimed at future-proofing Verizon’s AI investments while embedding operational security best practices, making it a highly visible, high-impact position within a stable yet innovation-driven powerhouse.

Absolutely. Here are some mock interview questions that could come up:

• Behavioral: Tell me about a time when you identified a significant security risk in an AI/ML system. How did you communicate this risk to both technical and non-technical stakeholders?
• Behavioral: Describe an experience where you had to lead or influence cross-functional teams to implement a security solution in a complex environment. What challenges did you face and how did you overcome them?
• Behavioral: Give an example of how you handled ambiguity or conflicting priorities when designing security measures for emerging technologies.
• Behavioral: Can you share a situation where you discovered a security incident or anomaly in AI systems? What steps did you take during the investigation and remediation?
• Technical: How would you design a threat modeling process tailored specifically for AI/ML pipelines and cloud-based infrastructure?
• Technical: Walk me through your approach to building security automation tools to detect adversarial attacks like data poisoning or model inversion.
• Technical: What strategies and tools would you use to ensure compliance with NIST AI Risk Management Framework within an enterprise AI environment?
• Technical: Explain how you would embed security controls into a CI/CD pipeline for AI model deployment alongside data science teams.
• Situational: Imagine a new AI model is deployed, and shortly after, you detect potential tampering signs. How would you proceed in evaluating and mitigating this threat?
• Situational: Suppose a business stakeholder wants to accelerate AI deployment but is reluctant to adopt recommended security controls. How would you handle this resistance?
• Situational: You find conflicting requirements between the regulatory team’s guidance and the engineering team’s design for AI security. How do you reconcile these differences?
• Company Fit: Why does Verizon appeal to you as the place to advance your career in AI Security?
• Company Fit: How do you see your values and approach to innovation and collaboration aligning with Verizon’s culture as described here?
• Company Fit: What excites you most about working in an established yet innovation-driven company in the telecommunications and AI security space?
• Candidate Questions: Can you describe how the AI Security team collaborates with Verizon’s broader cybersecurity and data science teams on a typical project?
• Candidate Questions: What are Verizon’s current biggest challenges and priorities in AI security that this role will help address?
• Candidate Questions: How does Verizon foster continuous learning and professional growth for senior technical roles like this one?