Cybersecurity AI Architect

Do you enjoy tackling complex problems that blend AI, cloud, data, and cybersecurity into unified, resilient architectures? Are you energized by building capabilities from the ground up, shaping governance, and guiding organizations through transformational technology shifts? Join us and play a defining role in securing AI technologies that power our growth, empower our teams, and ensure the safety and integrity of our global operations.

We are seeking an AI Cybersecurity Architect with a primary focus on enabling teams to deliver AI-enabled technical solutions collaboratively across Business, IT, Engineering, and Data Science groups. This role is centered on co-designing scalable and secure architectures that align technology, people, and processes to achieve business outcomes. A major responsibility is advising and supporting the AI Architecture Technical Committee by evaluating solution designs, assessing risks, and enabling informed decisions on the safe and strategic use of AI across the enterprise.

Required Qualifications:

• 8+ years in technology/cybersecurity roles with at least 4 years in architecture.
• Experience co-developing solution designs with Business and IT partners.
• Strong facilitation and communication skills to lead cross-functional collaboration.
• Experience designing and implementing AI-enabled architectures and creating architecture artifacts.
• Understanding of AI/ML concepts and responsible AI practices.
• Knowledge of scripting languages such as Python or PowerShell, and experience with automation tools (e.g., Terraform)
• Understanding of security frameworks and standards including NIST, SOC, and ISO 27001
• Strong familiarity with AI regulations, AI security frameworks, and emerging AI assurance standards
• Experience implementing or architecting AI, ML, or automation technologies within IAM or broader cybersecurity domains

Preferred Qualifications:

• Certifications such as CISSP, CCSP, SABSA, CRISC.
• Experience with AI governance frameworks and architecture committees.
• Background in technology strategy, architecture governance, or security research.
• Education: BS/MS preferred

Collaborative Solution Delivery

• Partner with Business, IT, Engineering, and Data Science teams to co-design secure, scalable, and AI technical solutions.
• Facilitate collaborative architecture sessions, workshops, and design sessions to guide teams toward well-informed architectural decisions.
• Translate architectural considerations into clear execution steps that empower delivery teams and accelerate solution deployment.
• Help teams navigate ambiguity by clarifying tradeoffs across technology, people, and process dimensions.

AI Architecture Technical Committee Enablement

• Serve as a trusted advisor by preparing architectural evaluations, risk assessments, and decision frameworks for Committee review.
• Contribute to enterprise AI guardrails, patterns, and reference architectures that ensure safe and responsible AI adoption.
• Support Committee decision-making through clear communication of risks, options, and implications across stakeholders.
• Ensure Committee decisions are socialized across teams and embedded in delivery practices.

People & Process Leadership

• Shape and improve architecture governance processes including intake, review, and lifecycle management.
• Develop templates, checklists, and reusable patterns that simplify responsible AI solution delivery.
• Mentor architects, engineers, and data scientists on design practices, governance expectations, and communication skills.
• Promote collaboration, transparency, and accountability across cross-functional teams.

Leveraging AI to Improve Cybersecurity

• Identify opportunities where AI can enhance cybersecurity automation, anomaly detection, and threat intelligence.
• Provide guidance on safe integration of AI into security workflows, addressing risks such as data leakage and unsafe automation.
• Develop secure patterns for connecting AI systems with SIEM, SOAR, EDR, and XDR platforms.