7 дней назад
Senior Security AI Engineer (Azure)
177 900$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Security AI Engineer (Azure): Designing and deploying production-grade AI-enabled security solutions and automations across security operations, cloud infrastructure, identity, and application security with an accent on Azure AI, Security Copilot, ADX, Sentinel, and Defender. Focus on building agent-style workflows, API and event-driven integrations, and safe, explainable automation that reduces manual security effort.
Location: 100% remote; Rahway, New Jersey, United States. West Coast candidates are not preferred.
Salary: $177,900 annually.
Company
provides staffing and technical talent services for enterprise technology assignments.
What you will do
- Design and build production-grade AI-assisted security solutions, agent-style workflows, and decision services.
- Automate security operations across SecOps, cloud infrastructure, identity and access management, and application security.
- Develop integrations using APIs, services, and event-driven architectures.
- Determine when AI, automation, or traditional logic is appropriate for security problems.
- Collaborate with security engineers, platform engineers, and data scientists.
- Write maintainable, well-tested code and reusable automation patterns.
Requirements
- Bachelor’s degree in computer science, engineering, cybersecurity, or a related field.
- 8+ years of experience in security engineering, systems engineering, or security automation.
- Hands-on experience building and deploying production security systems or automations.
- Strong experience with Azure AI/AI Foundry, Security Copilot, Copilot Studio, ADX, Sentinel, and Defender.
- Programming or scripting proficiency, preferably Python, plus experience with APIs and distributed systems.
- Practical keyboard-level problem solving is required during the technical evaluation.
Nice to have
- Master’s degree or PhD in a related technical field.
- Experience designing AI-assisted workflows or agent-like systems.
- Background across multiple security domains, including SOC, cloud, IAM, and AppSec.
- Experience integrating enterprise security platforms and internal services.
- Experience with Google Vertex AI or AWS Bedrock.
Culture & Benefits
- Fully remote work arrangement.
- Focus on safe, explainable, operationally usable security solutions rather than prototypes.
- Temporary assignments lasting 13 weeks or longer may include medical, dental, vision, 401(k), and statutory sick pay where required.
- Reasonable accommodations are available during the employment process.
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