Principal, AI Security Engineer

Micron Technology•Boise, ID

About The Position

Micron Technology is hiring a hands-on individual contributor on its Cyber Defense and Resiliency team to build tools, solutions, architectures, and frameworks that secure approved AI systems and defend against agentic threats throughout their lifecycle, from prevention through response and recovery. The role works with the Senior Manager, Technical Network Security and sets technical direction through practical engineering and reusable defenses. The position builds and operates protective controls for sanctioned AI solutions and translates emerging agentic attack patterns into working defenses, automated response actions, and frameworks that the broader organization can adopt. It focuses on protecting AI agents, model-backed services, and their supporting infrastructure; operating AI guardrails; detecting and containing threats; and restoring systems to a known-good state. The engineer partners across security, platform, AI enablement, and governance teams, and evaluates emerging tools, techniques, and research for production use.

Requirements

At least 8 years of experience in security engineering, detection and response, or related fields.
A bachelor's degree or equivalent experience.
Strong software engineering expertise in Python, APIs, data pipelines, and security platforms.
Hands-on experience securing AI and enterprise environments, including AI agents and LLM applications, tool/function calling, retrieval and memory, orchestration frameworks, and Model Context Protocol (MCP) integrations.
Experience implementing security controls such as AI guardrails, DLP, identity and access management, and application/endpoint protection.
A good foundation in security operations and architecture, including detection and response engineering, automation, telemetry analysis, blast-radius assessment, containment, credential and secrets management, network and endpoint security, and incident response.
Technical documentation skills and ability to drive complex initiatives from concept to production with minimal direction.

Nice To Haves

Deep expertise securing and hardening AI/agentic systems, including adversarial ML techniques, AI red teaming, and production-grade AI security controls and guardrails.
Strong knowledge of AI and cybersecurity frameworks such as MITRE ATLAS, OWASP LLM Guidance, and the NIST Cybersecurity Framework, and experience aligning engineering practices with resilience, threat detection, incident response, and recovery objectives.
Enterprise-scale security experience across cloud and on-premises environments.
Contributions to the AI security community through open-source projects, research, or thought leadership.
Relevant security or cloud certifications.

Responsibilities

Build and harden security tools for AI agents, model-backed services, and supporting infrastructure, including securing configurations, access, and integrations.
Operate and mature AI guardrails, including in-line model protections, prompt-injection defenses, and data-loss prevention, in partnership with AI enablement and governance teams.
Design detection capabilities for agentic threats, including prompt injection, tool/function abuse, identity and credential misuse, data exfiltration, and agent memory or context manipulation.
Develop automated, machine-speed response and containment tools with tiered authority for reversible and irreversible actions.
Enable rapid, scalable revocation of compromised agent access and credentials, and restore agent configurations, tool registries, and supporting services to a known-good state.
Create and document reusable architectures, reference designs, and frameworks for consistent security and defense of agentic systems across the organization.
Partner with detection and response, threat intelligence, platform engineering, and AI enablement teams to operationalize solutions and strengthen organizational capabilities as a technical authority.
Evaluate emerging AI security tools, techniques, and research through focused experimentation and bring the strongest solutions into production.