Sr Security AI Engineer

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 ResponsibilitiesAI-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. Systems Integration & Automation 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. Collaboration & Delivery 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. Required Qualifications 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. Preferred Qualifications 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. What Success Looks Like 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.

Created: 2026-03-10