Senior Security Engineer

Apple; Austin (TX); On-site; USD 120,000 - 180,000; Full time

Job summary

Apple in Austin is seeking a Senior Security Engineer to strengthen the security posture of critical applications and infrastructure. You will work on AI/ML systems and emerging technologies, with emphasis on shifting security left across the AI application development lifecycle through assessments, threat modeling, and practical enablement for engineering teams.

You will conduct hands-on security assessments of AI applications and infrastructure, build tooling to scale security, and collaborate

Qualifications

• Experience conducting security assessments of distributed systems, cloud-native applications, and large-scale infrastructure.
• Experience developing security requirements, threat models, or risk assessments for new and emerging technologies.
• Experience applying industry‑leading security best practices to AI/ML solutions.
• Understanding of AI/ML concepts including model training pipelines, inference services, vector databases, agentic systems, and LLM‑based applications.
• Strong verbal and written communication skills to explain security risk to technical and non-technical stakeholders.

Responsibilities

• Research emerging technologies, threats, and vulnerabilities to define security requirements and controls before changes reach production.
• Perform hands-on security assessments of AI applications and infrastructure, including ML pipelines and agentic systems, identifying vulnerabilities and security risks across the AI/ML stack.
• Build techniques, tooling, and automation that enable and scale security assessments for AI applications and infrastructure.
• Collaborate with engineering teams to create tools and procedures that support early risk identification and remediation throughout the AI development lifecycle.
• Promote assessment tools, security processes, and proven solutions across engineering teams to drive consistent adoption of AI security best practices.

Skills

Distributed systems security

Cloud-native applications

AI/ML security

Security assessments

Threat modeling

Communication skills

Education

BS in Computer Science/Engineering or Information Security

5+ years of hands-on experience

Tools

LLMs tooling

ML platforms

Vector databases

Agentic systems

Job description

Apple is looking for a Senior Security Engineer to strengthen the security posture of critical applications and infrastructure. This onsite role in Austin supports security work across AI/ML systems and emerging technologies, with an emphasis on shifting security left across the AI application development lifecycle through assessments, threat modeling, and practical enablement for engineering teams.

What you’ll do

• Research emerging technologies, threats, and vulnerabilities to help define security requirements and controls before changes reach production.
• Perform hands‑on security assessments of AI applications and infrastructure, including ML pipelines and agentic systems, identifying vulnerabilities and security risks across the AI/ML stack.
• Build techniques, tooling, and automation that enable and scale security assessments for AI applications and infrastructure.
• Collaborate with engineering teams to create tools and procedures that support early risk identification and remediation throughout the AI application development lifecycle.
• Promote assessment tools, security processes, and proven solutions across engineering teams to drive consistent adoption of AI security best practices.

What you bring

• Experience conducting security assessments of complex distributed systems, cloud-native applications, and large-scale infrastructure.
• Experience developing security requirements, threat models, or risk assessments for new and emerging technologies.
• Experience applying industry‑leading security best practices to AI/ML solutions.
• Working knowledge of AI/ML concepts including model training pipelines, inference services, vector databases, agentic systems, and LLM‑based applications.
• Understanding of common AI/ML security risks such as prompt injection, insecure tool use, data leakage, and supply chain vulnerabilities.
• Strong verbal and written communication skills, including the ability to explain security risk to technical and non‑technical stakeholders.
• Education: BS in Computer Science, Computer Engineering, or Information Security, or 5+ years of equivalent hands‑on experience.

Technologies you’ll work with

• AI/ML, ML pipelines, agentic systems, vector databases, LLM‑based applications
• prompt injection, supply chain vulnerabilities, MCP (Model Context Protocol), A2A

Preferred qualifications

• Experience defining and implementing security requirements and controls for AI infrastructure, tooling, applications, and services.
• Experience developing security tooling or automation leveraging LLMs.
• Experience securing AI agents and emerging agentic protocols such as MCP or A2A.
• Experience with ML platforms and tooling.
• Proven track record securing enterprise platforms, cloud‑based solutions, or privacy‑focused systems.