Назад
Company hidden
5 дней назад

Enterprise Data Security Architect (AI)

180 000 - 250 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
Для мэтча и отклика нужен Plus

Мэтч & Сопровод

Для мэтча с этой вакансией нужен Plus

Описание вакансии

Текст:
/
TL;DR
Enterprise Data Security Architect (AI): Defining enterprise security architectures and controls for data platforms, cloud environments, and generative AI deployments with an accent on secure-by-design patterns, AI risk mitigation, and data protection. Focus on threat modeling AI workloads, securing RAG and vector database architectures, protecting data lakes and model registries, and leading incident response and regulatory assessments.

Location: Hybrid role in Duluth, Georgia, United States

Salary: $180,000–$250,000 USD annually

Company

hirify.global is a financial services company recognized as a leading workplace in the United States.

What you will do

  • Define enterprise security reference architectures, patterns, standards, blueprints, and secure-by-design strategies.
  • Design controls for AI-specific risks, including prompt injection, data poisoning, model extraction, adversarial attacks, and agentic system vulnerabilities.
  • Define secure generative AI patterns covering RAG, vector databases, LLM gateways, output filtering, guardrails, red teaming, and responsible AI governance.
  • Architect data security controls for classification, encryption, DLP, DSPM, access governance, tokenization, and masking.
  • Secure data lakes, warehouses, feature stores, model registries, and related data lineage, provenance, and integrity controls.
  • Lead technology evaluations, integrations, threat modeling, risk assessments, incident response, and architecture compliance reviews.

Requirements

  • 10 years of security architecture or senior security engineering experience.
  • 3+ years of direct experience securing AI, ML, or generative AI systems, data science platforms, or large-scale data environments.
  • Practical experience with the NIST Cybersecurity Framework and threat modeling frameworks such as MITRE ATLAS, OWASP, or NIST AI RMF.
  • Deep knowledge of cloud security across Azure, AWS, or GCP, plus container, Kubernetes, and zero-trust security.
  • Understanding of AI/ML lifecycles, training and inference pipelines, embeddings, RAG, agents, fine-tuning, and common attack vectors.
  • Experience with DLP, SIEM platforms such as Splunk or ELK, compliance frameworks, and incident response.

Nice to have

  • CISSP, CCSP, or CISM certification.
  • SABSA or TOGAF framework experience.
  • Experience with differential privacy, federated learning, or secure multi-party computation.

Culture & Benefits

  • Health, dental, and vision insurance from day one.
  • 401(k) plan with employer match.
  • Vacation, sick, holiday, and volunteer time off.
  • Life and disability insurance, FSA, and HSA.
  • Professional development, tuition reimbursement, and company-sponsored social and philanthropy events.

Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →