Principal AI Security Technologist

Micron Technology•Boise, ID

About The Position

Micron is seeking a Principal AI Security Technologist to lead the next phase of its security transformation. The role owns the target-state AI and data architecture for converged security operations, spanning Physical Security, SOC/GSOC, Threat Intelligence, and Insider Risk. It will scale AI agents and automation from pilot to production globally, developing a unified, AI-supported security ecosystem that shifts operations from reactive, manual processes toward risk-based, intelligence-led capabilities. The position is chartered to fundamentally change how security work is performed by determining which tasks should be automated, which should remain with people, and how the two work together. The role provides technical direction and delivers the transformation roadmap, architecture, agent capabilities, and operational outcomes.

Requirements

10 or more years of experience in security technology, security engineering, or security operations, including significant experience in an architect or technical lead role.
Hands-on experience applying AI agents, machine learning, or advanced analytics to security or adjacent operational problems, with at least one capability delivered to production.
Strong understanding of enterprise physical security systems, including access control, video management, intrusion and alarm systems, and security operations center workflows.
Experience designing data and integration architectures that bring together data from multiple operational systems.
Demonstrated ability to translate security risk and operational needs into technical and automated solutions and lead multifunctional teams through delivery.

Nice To Haves

Experience with converged security, fusion-center operations, and high-security industrial environments, including semiconductor or manufacturing.
Experience deploying LLM-based agents in production, including evaluation, guardrails, and human-in-the-loop design.
Familiarity with cloud data platforms, data lakes, and lakehouse architectures.
Knowledge of security risk frameworks, governance, privacy, and responsible AI, particularly for workforce and video data.
Relevant security, cloud, or technology certifications such as CISSP, CPP, PSP, or cloud architecture credentials; advanced education; or equivalent experience.

Responsibilities

Own and evolve the multi-year security transformation roadmap across Physical Security, SOC/GSOC Operations, Threat Intelligence, and Insider Risk, aligning it with operational priorities and measurable outcomes.
Define and govern the target-state AI and data architecture that integrates physical security systems, SOC tooling, intelligence platforms, and insider risk capabilities.
Make architecture decisions concerning data models, integration patterns, platform choices, and the placement of AI in operational workflows.
Identify security tasks suited to AI agent automation or AI-assisted execution, including triage, enrichment, correlation, and investigation preparation.
Take AI agent capabilities from pilot to production with appropriate evaluation, guardrails, and human oversight for security-critical decisions.
Lead the transition from rule-based alerting to risk-based assessment and prioritization across physical, intelligence, and insider domains.
Use multi-signal correlation to identify emerging threats earlier and reduce false positives.
Lead initiatives from concept through production and enterprise-scale deployment.
Define and track success metrics for workload reduction, detection accuracy, response speed, and risk visibility.
Retire legacy tools and manual workflows as automated capabilities mature.
Mentor engineers and data scientists, collaborate with IT, cybersecurity, legal, and privacy teams, and represent the program's technical direction to senior leadership.