AI Security Engineer

🕒 il y a 1 mois

🇺🇸 États-Unis – Télétravail

💵 $110 000 - $165 000 / an

⏰ Temps Plein

🟡 Intermédiaire

🟠 Senior

👮‍♂️ Cybersécurité / Ingénieur Sécurité

👻 Score fantôme 1%

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🗣️🇺🇸🇬🇧 Anglais requis

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Interra Health

51 - 200 employés

🏥 Santé

☁️ SaaS

🔌 API

Healthcare • SaaS • API

Interra Health est une entreprise de technologie en santé issue de la fusion de DoseSpot, Arrive Health et pVerify. Elle propose des solutions intégrées, axées sur les développeurs, qui connectent les avantages médicaux et pharmaceutiques avec l'exécution des ordonnances afin de permettre des décisions transparentes et éclairées au point de soin. Sa gamme de produits inclut DoseSpot (e-prescription et engagement des patients), Arrive Health (couverture en temps réel, informations sur les prix et l'abordabilité) et pVerify (vérification de l'éligibilité et des avantages des assurances). Interra Health vise à fournir des informations en temps réel sur la couverture, le coût et l'accès pour les prestataires, ainsi que des informations claires sur la couverture, l'abordabilité et la disponibilité pour les patients. Elle soutient les PBM, les payeurs, les partenaires des sciences de la vie et les plateformes technologiques de santé avec des APIs et une infrastructure dédiée aux développeurs.

Description

• 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

🎯 Exigences

• 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

🏖️ Avantages

• 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

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