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5 часов назад

Cloud and AI Security Engineer

Формат работы
onsite
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
Philippines
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Cloud and AI Security Engineer (AI/ML security): Developing security frameworks and controls for AI/ML platforms, LLM-powered applications, and the cloud infrastructure supporting them with an accent on threat mitigation, RAG security, agentic workflows, and cloud baselines. Focus on threat modeling with MITRE ATLAS and OWASP Top 10 for LLMs, adversarial testing, AI behavior monitoring, and governance for regulated financial services.

Location: Manila, Philippines

Company

hirify.global is a digital-first financial services company providing technology-driven tools for individuals, small businesses, and companies.

What you will do

  • Develop and implement security frameworks for AI/ML platforms across data ingestion, training, deployment, inference, and retirement.
  • Assess and mitigate AI-specific threats including prompt injection, jailbreaking, adversarial attacks, model inversion, data poisoning, and training data exfiltration.
  • Review LLM integrations such as Azure OpenAI, Google Vertex AI, and Anthropic Claude, and enforce security guardrails.
  • Govern RAG security and design controls for AI agents and agentic workflows, including data access, tool use, autonomy boundaries, and escalation paths.
  • Build cloud security baselines across AWS, Azure, and/or GCP for AI/ML workloads, including compute, storage, model registries, and APIs.
  • Perform threat modeling, adversarial testing, monitoring, anomaly detection, and AI security standards development for financial and customer-facing applications.

Requirements

  • 3+ years of information security experience with hands-on cloud security work in AWS, Azure, or GCP.
  • Understanding of model training pipelines, LLMs, embeddings, vector databases, RAG architectures, and AI agents.
  • Familiarity with MITRE ATLAS, OWASP Top 10 for LLMs, and NIST AI RMF.
  • Proficiency in Python and experience securing APIs, containerized workloads, and cloud-based microservices.
  • Understanding of GDPR and CCPA requirements for AI training datasets.
  • Strong written communication skills for explaining AI security risks to non-technical stakeholders.

Nice to have

  • Cloud security certifications such as AZ-500, AWS Security Specialty, or Google Professional Cloud Security Engineer.
  • Experience with MLOps platforms including MLflow, Kubeflow, SageMaker, Azure ML, or Vertex AI.
  • Exposure to AI red teaming, adversarial ML research, regulated financial services, or LLM gateway security products such as Portkey and LiteLLM.

Culture & Benefits

  • Digital-first, technology-driven financial services environment.
  • Work alongside cloud and AI security, red team, offensive security, and leadership stakeholders.
  • Offers are contingent on successful credit, criminal background, medical, and drug screening.
  • Reasonable workplace accommodations are available for qualified individuals with disabilities.

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