обновлено 7 дней назад
Security Engineer (AI/LLM)
120 000 - 150 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Security Engineer (AI/LLM): Securing AI/LLM deployments, cloud infrastructure, and sensitive data across AWS and GCP with an accent on threat modeling, guardrail design, and cloud security monitoring. Focus on defending MCP and LLM connector integrations, hardening multi-cloud environments, analyzing real-time security alerts, and supporting SOC 2, PCI DSS, and ISO 27001 compliance.
Location: Mountain View, California, United States; remote work may be considered for candidates located outside a 50-mile radius of Mountain View.
Salary: USD 120,000–150,000 per year, plus performance bonuses and equity options.
Company
provides an AI-powered fraud and risk platform with an open SaaS architecture, real-time detection capabilities, machine learning, device intelligence, and investigation tools.
What you will do
- Assess and secure AI/LLM deployments, MCP integrations, and LLM connectors through threat modeling, guardrail design, and risk assessment.
- Monitor cloud and infrastructure security using CSPM, SIEM, cloud-native threat detection, database activity monitoring, and SOAR.
- Analyze real-time security alerts generated by cloud infrastructure and applications.
- Own security across AWS and GCP, including IAM, compute, storage, networking, workload configurations, hardening, baseline enforcement, and remediation.
- Participate in incident management, change management, security policy management, and incident response.
- Contribute to SOC 2, PCI DSS, and ISO 27001 compliance programs.
Requirements
- Bachelor’s degree in Computer Science, Information Security, or a related technical field.
- 5+ years of security engineering experience, including at least 2 years focused on AI/ML security.
- Hands-on experience securing AWS and GCP environments, including IAM, EC2, S3, VPC, Compute Engine, and Cloud Storage.
- Experience with CSPM, cloud misconfiguration remediation, and AI/LLM deployment security, including Amazon Bedrock guardrails, input/output filtering, prompt-injection defense, output validation, and data-egress controls.
- Experience assessing MCP and LLM connectors against OWASP guidance, including OAuth scope minimization, tool-access boundaries, connector chaining, and untrusted-content handling.
- Knowledge of NIST AI RMF, OWASP LLM Top 10, OWASP MCP and agentic-system guidance, MITRE ATLAS, cryptography, authentication, authorization, vulnerabilities, and IP networking protocols.
Culture & Benefits
- Open, positive, collaborative, and results-driven work culture.
- Comprehensive medical, dental, and vision insurance.
- 401(k) retirement savings plan.
- Discretionary paid time off and paid holidays.
- Remote work option for eligible candidates outside a 50-mile radius of Mountain View.
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