Job Details

Senior Security AI Engineer

Role Overview

We are seeking a Senior Security AI Engineer to design and build AI-enabled security solutions and automations across enterprise security domains, including security operations, cloud and infrastructure security, identity and access management, and application security.

This role is focused on hands-on engineering and solution delivery. The successful candidate will work on complex security challenges, determine the appropriate use of AI, automation, or traditional engineering approaches, and implement secure, production-grade solutions in real-world environments.

Key Responsibilities

AI-Enabled Security Engineering

• Design and build AI-assisted security solutions, including agent-style workflows, decision services, and intelligent automations.
• Translate complex or ambiguous security problems into engineered, production-ready solutions.
• pply sound engineering judgment to determine when AI, automation, or deterministic logic is most appropriate.

• Develop integrations and automations using APIs, services, and event-driven architectures.
• Build reusable security components and workflows that operate across multiple security domains.
• Ensure solutions integrate cleanly with existing platforms, services, and operational processes.

• Work closely with security engineers, platform engineers, and data scientists to deliver effective solutions.
• Write maintainable, well-tested, and secure code and automation logic.
• Contribute to shared patterns, libraries, and best practices for AI-enabled security engineering.

• Bachelor's degree in Computer Science, Engineering, Cybersecurity, or a related technical field.
• 8+ years of experience in security engineering, systems engineering, or security automation.
• Proven experience designing, building, and deploying production-grade security systems or automations.
• Strong understanding of:
  
  • Security operations concepts and workflows
  • Cloud and infrastructure environments
  • Identity and access management principles
• Hands-on experience using AI or LLM-based capabilities as part of real, deployed systems.
• Proficiency in programming or scripting languages such as Python.
• Experience working with APIs, distributed systems, and service-oriented architectures.

• Master's degree or PhD in a related technical discipline.
• Experience designing AI-assisted workflows or agent-like systems.
• Background across multiple security domains (e.g., SOC, cloud security, IAM, application security).
• Experience integrating with enterprise security platforms and internal services.

• Delivers secure, reliable, production-grade AI-enabled security solutions-not prototypes.
• Converts ambiguous security challenges into clear, engineered implementations.
• Builds solutions that are safe, explainable, and operationally usable.
• Reduces manual security effort through effective automation and AI-assisted decision-making.
• Earns trust from security engineers and domain teams through technical credibility.
• Creates reusable patterns and solutions that scale across security domains.