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Tech Stack
Tools & technologiesCloudCyber SecuritySDLC
About the role
Key responsibilities & impact- Build and deploy AI/LLM-powered tooling to accelerate security workflows — alert triage, incident investigation, threat detection, and log analysis.
- Develop AI agents and automations that reduce manual toil in the SOC (e.g., enrichment, summarization of detections, first-pass triage).
- Integrate AI capabilities into existing security tooling (SIEM, EDR/CrowdStrike, vulnerability management, phishing analysis).
- Partner with engineering teams to integrate AI-assisted secure coding, code review, and vulnerability detection into the development lifecycle.
- Build guardrails and automated security checks into AI-assisted coding tools and CI/CD pipelines.
- Assess and secure AI/ML components that engineering teams ship in products (prompt injection, model abuse, data leakage, insecure output handling).
- Develop reference patterns and paved-road tooling so developers can adopt AI securely by default.
- Threat-model AI-enabled features and applications, mapping to frameworks like the OWASP LLM Top 10 and MITRE ATLAS.
- Define and maintain the organization's AI acceptable-use policy and secure-adoption standards.
- Establish a review/intake process for evaluating and approving new AI tools, vendors, and use cases.
- Assess data-handling and privacy risks of AI tools (what data goes where, training/retention terms, regional compliance).
- Align AI governance with regulatory and framework requirements (e.g., NIST AI RMF, ISO/IEC 42001, SOC 2, PCI DSS where applicable).
- Educate and enable employees on safe AI use through training, guidance, and clear escalation paths.
Requirements
What you’ll need- Bachelor’s degree in Computer Science, Cybersecurity, or related field.
- 6-8+ years of experience in application security, secure coding, and vulnerability assessment.
- Hands-on experience building or deploying AI/LLM-powered tooling, agents, or automations — ideally in a security or engineering context.
- Understanding of AI/ML-specific threats and mitigations: prompt injection, data poisoning, model abuse, insecure output handling, data leakage (OWASP LLM Top 10, MITRE ATLAS).
- Demonstrated experience securing software in a modern SDLC (CI/CD, cloud-native environments).
- Ability to assess third-party AI vendors for data-handling, privacy, and security risk.
- Ability to work effectively with development teams, guiding and holding them accountable for timely vulnerability remediation.
- Self-directed and curious; stays current in a fast-moving AI threat and tooling landscape.
- Bias toward enablement — builds paved roads and guardrails rather than blockers.
- Fluency in English.
Benefits
Comp & perks- 💸 Get paid in USD. We use Rippling to make things easier for you!
- 🗺 Work remotely: design the life that you want.
- ⛱ Enjoy 15 days of vacation each year from the start date.
- 🎄 16 fully paid Argentinean holidays.
- 🩺 Healthcare Benefit: Monthly stipend to use in your preferred healthcare provider.
- 🗓️ 5- year Sabbatical: After 5 years with CookUnity, you get a 4-week paid sabbatical.
- 🐣 Paid family leave.
- 🕯 Compassionate Leave: 3-5 days each time the need arises.
- 🧘🏽♀️ Flexible benefits, your way: a prepaid card you can use on wellness, learning, food, and more.
- 🤖 AI-forward workplace: enterprise access to ChatGPT and Claude to help you work smarter and grow faster.
- 🧑🏫 Personalized English coach.
ATS Keywords
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Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
AI/ML Threat MitigationIncident InvestigationThreat DetectionLog AnalysisCI/CD Pipeline SecurityData Handling and Privacy Risk AssessmentOWASP LLM Top 10MITRE ATLASSecurity Tool IntegrationAutomation Development
Soft Skills
Effective CommunicationSelf-DirectedCuriosityEnablement MindsetCollaboration
