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Enterprise AI Security Engineer - Mercari

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GCPAWSAzureGoPythonJavaScriptGitShell
English: Intermediate
Mercari

Enterprise AI Security Engineer

  • Employment Status: Full-time
  • Work Hours: Full Flextime (no core time)
  • Office: Roppongi

Organization/Team Mission

Engineering Principles:

  • Passion For The Product
  • Grow Together
  • Solve Through Mechanisms
  • Collaborate Openly

See more about Engineering Culture and mission and values.

Work Responsibilities

As an Enterprise AI Security Engineer, you will:

  • Build core controls to secure a dynamic and AI-centric work environment.
  • Focus on securing internal AI agent platforms and solutions.
  • Collaborate with AI Taskforce, engineering, and IT teams to design and deploy secure foundations.
  • Implement zero-trust architecture to enhance security posture.
  • Embrace a "security as code" philosophy—automate and optimize security solutions for a secure-by-default enterprise IT infrastructure.

Unique Challenges

Security Frameworks and Assessments

  • Develop and implement security frameworks for enterprise IT solutions and AI agents.
  • Conduct risk assessments and threat modeling for IT and AI systems.
  • Design and implement technical security solutions and mitigation strategies for IT infrastructure and internal AI agent platforms.

Automation and Optimization

  • Automate manual processes and operational tasks across security systems.
  • Optimize configurations for IAM, Endpoint Security, AI agent platforms, and DLP systems.

Standards and Partnership

  • Establish and maintain security standards and guidelines for AI solutions and infrastructure.
  • Collaborate with engineering and IT teams to secure enterprise IT systems and protect against evolving threats.

Qualifications

Required Experience/Skills

  • Bachelor’s degree or equivalent practical experience in core cybersecurity domains related to IT.
  • Knowledge of computer security concepts (CIA triad, principle of least privilege, authentication vs. authorization, etc).
  • Experience in programming with at least one language (e.g., Go, Python, JavaScript).
  • Knowledge of software development tools: Git, CI/CD, IaC, shell scripting.
  • Basic understanding of AI security principles (OWASP AI/LLM Top Ten).
  • Proficiency using AI tools for productivity, dashboarding, and reporting.
  • Experience with modern IAM systems (e.g., Okta, Microsoft Entra ID).
  • Strong teamwork and collaboration skills.

Preferred Experience/Skills

  • Experience as a security architect or IT architect.
  • Deep understanding of AI agent mechanisms, vulnerabilities, and attack methodologies.
  • Experience in securing AI agent frameworks.
  • Experience managing Non-Human Identity (NHI) tools.
  • Expertise in security of cloud platforms (GCP, AWS, Azure); knowledge of multi-cloud and cloud-agnostic systems.
  • Experience building/administering IT security solutions (IAM, MDM, EDR, DLP, etc.).
  • Familiarity with frameworks such as NIST AI RMF, Google's Secure AI Framework, OWASP Top 10 for Agentic Applications.
  • Strong analytical, problem-solving, and critical thinking skills.
  • Ability to effectively communicate security threats and mitigation strategies to various audiences.

Language

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Recruiting Process

  1. Application screening
  2. Skill assessment (HackerRank/GitHub for engineering positions)
  3. Interview(s)
  4. Reference check
  5. Offer

Learn more about the process here.

Equal Opportunity Hiring

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