AI Security Engineer

Interra Health

. Lead security assessments of AI/ML models, data pipelines, and AI-enabled applications .

Posted 9/15/2026full-timeRemote • United StatesMid-LevelSenior💰 $110,000 - $165,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in securing AI/ML systems, including vulnerability assessment and incident response, while effectively communicating technical risks to non-technical stakeholders. Proficient in implementing security measures throughout the AI development lifecycle and monitoring the evolving AI threat landscape.

Highest-signal resume keywords

AI/ML Security Risk AssessmentVulnerability ScanningSAST/DAST ExperiencePython Scripting ProficiencyCloud Infrastructure Security (AWS/Azure/GCP)

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Security EngineeringApplication SecurityAI/ML Security RisksIncident ResponseAccess Control TestingData EncryptionData SegmentationThreat ModelingRisk AssessmentRemediation Planning

Soft Skills

CommunicationCollaborationProblem-SolvingAdaptability

Tools & Technologies

AI Security ToolsMonitoring ControlsDetection ControlsThird-Party API Security

Industry Keywords

OWASP Top 10 for LLMsAdversarial MLData PoisoningPost-Merger Environment

Tech Stack

Tools & technologies

AWSAzureCloudGoogle Cloud PlatformPython

About the role

Key responsibilities & impact

Lead security assessments of AI/ML models, data pipelines, and AI-enabled applications
Identify vulnerabilities including prompt injection, model inversion, data poisoning, and adversarial inputs
Partner with Data & Analytics and Engineering to embed security requirements and threat modeling throughout the AI development lifecycle
Build and maintain production guardrails, monitoring, and detection controls for AI systems
Flag anomalous model behavior and unauthorized data access
Conduct security reviews of third-party AI tools, APIs, and vendors
Lead incident response for AI-related security events
Design and advise on standards for secure, responsible AI use
Test and validate access controls, encryption, and data segmentation
Use AI tools for security testing, code review, and threat research
Monitor the evolving AI threat landscape and translate emerging risks into mitigations
Document findings, risk assessments, and remediation plans for technical and non-technical stakeholders
Report to the Lead Security Engineer and escalate complex or high-impact issues to senior security leadership

Requirements

What you’ll need

Bachelor's degree
5+ years in security engineering or application security
Hands-on experience securing AI/ML systems or LLM-based applications
Deep knowledge of AI/ML security risks, including OWASP Top 10 for LLMs, adversarial ML, and data poisoning
Proven ability to test for and mitigate AI/ML security risks
Hands-on experience with SAST/DAST and vulnerability scanning
Scripting proficiency in Python or a similar language
Understanding of AWS, Azure, or GCP cloud infrastructure and AI/ML workload security
Ability to translate technical risk for non-security stakeholders
Comfort working in a fast-paced post-merger environment
Must be legally authorized to work in the United States
Position subject to pre-employment drug screening where permitted by law

Benefits

Comp & perks

Competitive compensation
Remote-first work arrangement
One-time home office stipend
Monthly Wi-Fi reimbursement
Flexible scheduling and core collaboration hours (10:00 AM–3:00 PM ET)
Annual company-wide offsite
Flexible PTO
17 company holidays
Paid sick leave
Paid parental leave
Multiple medical plan options with significant company premium contributions
Dental coverage, including orthodontia
Vision coverage for employees and family
Company contributions to HSA/FSA accounts, based on plan selection
401(k) with company match