AI Security - Principal Security Research Engineer I

United States Digital Space LLC; United States; On-site; USD 180,000 - 240,000; Full time

Job summary

Search AI Company is seeking a Principal Security Research Engineer on the TRaDE team to shape detection capabilities and defenses, focusing on AI security. You will apply deep security expertise to validate detection content and improve threat research workflows.

The role emphasizes hands-on work with detection engineering, threat research, and producing findings for the broader security community. Collaboration across teams is required to align with dynamic priorities.

Qualifications

• Experience in Generative AI security.
• Familiarity with MITRE ATT&CK/ATLAS threat techniques.
• Experience writing or validating detections using a query language (EQL, KQL, SQL).
• Proven ability to transition between projects, codebases, or scrum teams.
• Proven track record of using AI to accelerate development and integrating AI/ML frameworks.
• Hands-on experience integrating LLM APIs into production applications.

Responsibilities

• Improve and create new internal rule management capabilities to ship rigorous protections.
• Develop new capabilities and AI workflows to steer threat research and detection engineering processes.
• Investigate new multidomain threat vectors and attack methodologies.
• Monitor security trends and threat intelligence reports for insights.
• Create and present findings to enhance team knowledge and community awareness.

Skills

Generative AI Security

MITRE ATT&CK/ATLAS

Detection queries (EQL/KQL/SQL)

AI-assisted development

LLM APIs integration

Project/scrum cross-collaboration

Tools

EQL

KQL

SQL

Job description

the company, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale - unleashing the potential of businesses and people. The the company Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data - securing and protecting private information more effectively - the company’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI.

What is The Role

As a Principal Security Research Engineer on the Threat Research and Detection Engineering (TRaDE) team, you'll play a key role in shaping the detection capabilities of the company Security. You'll work hands-on with detection engineering and threat research, focusing on enhancing our defenses, particularly in the areas of AI security. This position invites you to apply your solid security background and keen interest in validating detection methods, helping to create effective and reliable detection content that benefits the wider community.

What You Will Be Doing

• Improving and creating new internal rule management capabilities to ship rigorous protections
• Developing new capabilities and the company AI workflows to steer and streamline our threat research and detection engineering processes
• Investigate new multidomain threat vectors and attack methodologies to stay ahead of emerging risks
• Monitor security trends and threat intelligence reports for relevant insights
• Create and present findings to enhance team knowledge and community awareness

What You Bring

• We're looking for candidates with experience in Generative AI Security and intimately understand MITRE ATLAS / ATT&CK threat techniques and behaviors.
• Experience with the company Security Solution and proficiency in writing or validating detections using a query language (e.g. EQL, KQL, SQL)
• Demonstrated experience leveraging AI-assisted development tools to accelerate feature development, debug complex systems, optimize existing codebases, generating telemetry, conduct threat research, and assist detection engineering workflows.
• Proven ability to seamlessly transition between different projects, codebases, or scrum teams based on dynamic business priorities.
• You have a proven track record of using AI to accelerate development, debug complex systems, and optimize code, while still owning the final outcomes.
• Proficiency in modern AI/ML frameworks and hands-on experience integrating LLM APIs into production applications