AI Security Engineer, Detection and Response

As an AI Security Engineer, you will play a key role in building and advancing an AI-native security operations program. You will design and deploy intelligent agents and automated workflows to strengthen threat detection, investigation, and incident response. Working across endpoint, cloud, identity, and SaaS environments, you will help protect critical systems, sensitive data, and customer information. You will combine hands-on cybersecurity expertise with AI engineering to automate routine security tasks and improve operational efficiency. Collaborating with engineering teams, IT, external security partners, and leadership, you will turn emerging security challenges into practical solutions. This is an opportunity to shape the future of security operations in a fast-growing, technology-driven environment.

• At least 5 years of professional cybersecurity experience, primarily focused on security operations, detection engineering, and incident response.

• Proven experience leading security incident investigations, managing complex security events, and conducting digital forensics.

• Hands-on experience developing, implementing, and tuning detection rules within security monitoring and detection platforms.

• Demonstrated experience building or integrating end-to-end AI agents and LLM-based solutions for security operations, particularly alert triage, automated investigations, and incident response.

• Strong scripting and automation capabilities, particularly with Python.

• Practical experience working with cloud environments such as AWS, Azure, or Google Cloud Platform (GCP).

• Familiarity with infrastructure-as-code practices and automated deployment workflows.

• Ability to combine AI technologies with established cybersecurity methodologies while understanding the limitations and risks of automated security decisions.

• Strong analytical, investigative, and problem-solving skills, with the ability to manage immediate security incidents alongside longer-term engineering initiatives.

• Excellent organizational and prioritization skills, including the ability to remain calm and make sound decisions under pressure.

• Strong written and verbal communication skills, with the ability to explain complex technical concepts clearly to technical and non-technical stakeholders.

• Excellent interpersonal and collaboration skills, with the ability to work effectively across multidisciplinary teams.

• Candidates must be based in the United States. East Coast candidates are strongly preferred. Remote work is available, with additional hybrid or office options in selected locations.

• Applicants residing in Alaska, Delaware, Iowa, Mississippi, Nebraska, South Dakota, West Virginia, and Wisconsin are not eligible for consideration.