AI Security Engineer

Micron Technology•Boise, ID

About The Position

Micron Technology is seeking a Staff AI Security Engineer for its Cyber Defense and Resiliency team. This hands-on individual-contributor role builds tools, solutions, architectures, and frameworks to secure the company’s approved AI estate and defend against agentic threats throughout their lifecycle, from prevention through response and recovery. The engineer works with the Senior Manager, Technical Network Security, spends most of their time building, and sets technical direction for others. The role combines operating protective controls for approved AI solutions with translating emerging agentic attack patterns into practical defenses, automated response actions, and reusable frameworks for broader organizational use. The engineer is expected to work effectively in an evolving security area while applying rigorous engineering practices.

Requirements

At least 8 years of experience in security engineering, detection and response, or related fields.
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.
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, incident response, and technical documentation.
Ability to drive complex initiatives from concept to production with minimal direction.

Nice To Haves

Deep expertise in 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, with experience aligning engineering practices to 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 that protect AI agents, model-backed services, and supporting infrastructure by 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.