AI Cybersecurity Architect

Responsibilities

The AI Cybersecurity Architect is Altec's enterprise strategy leader and visionary in AI cybersecurity and data protection.

This role is accountable for defining and driving a robust security architecture that safeguards the data and systems underlying all AI initiatives.

The AI Cybersecurity Architect ensures that every facet of the AI ecosystem is secure by design - guarding against external AI-driven threats, governing internal AI usage and custom AI applications, and protecting the data pipelines that fuel AI solutions.

Operating at the intersection of cybersecurity and innovation, the Architect partners with senior IT leadership (including the SVP of Information Services, VP of IT Operations, & Head of Cybersecurity) and collaborates with the AI Center of Excellence and Advanced Development team to embed cybersecurity into every AI pilot, agent workflow, and data process.

By doing so, the AI Cybersecurity Architect enables Altec to accelerate AI adoption safely, maintaining rigorous security and control over valuable data even as the organization rapidly expands its use of AI.

Key Responsibilities

AI Security Architecture


* Define and own the enterprise AI security strategy and architecture: Develop a comprehensive approach for securing AI technologies across the organization, addressing both external AI-driven threats and internal AI use.


* Architect and oversee robust AI security controls: Ensure the design and implementation of enterprise-wide AI security controls and guardrails.


* Establish technical guardrails against AI-specific threats: Define and implement protective mechanisms to defend against risks unique to AI.


* Secure AI agents and integration points: Provide architecture leadership for the safe design of AI agent frameworks, Model Context Protocol (MCP) servers, and model gateway integrations.


* Counter AI-enabled threats with a blue-team mindset: Continuously evaluate and anticipate emerging threats from malicious AI usage.

Drive the incorporation of AI-related threat intelligence into the security program.

AI Risk, Governance & Strategy


* Establish enterprise AI security policies and standards: Define and maintain enterprise-wide standards for AI data handling, logging, monitoring, identity, and access management for AI systems.


* Lead AI security governance and risk management: Own the AI security governance framework, ensuring alignment with overall cybersecurity and business strategy.


* Drive AI risk assessment and review processes: Architect a rigorous risk assessment program for AI projects and usage.

Lead the security review of new AI tools, pilots, and proofs of concept in collaboration with the AI innovation teams, setting the criteria for evaluation and required security controls.


* Align with NIST 800-53 and emerging AI frameworks: Ensure that all AI security controls, policies, and architectures align with the company's adherence to NIST 800-53 a...