Senior AI Security Engineer: Build Secure AI & Cloud Defenses

InPost

United States

Remote

USD 130,000 - 170,000

Full time

6 days ago
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Job summary

InPost is seeking a security leader to oversee AI/LLM and agentic systems security across its technology estate. You will assess risks, reproduce vulnerabilities, and collaborate with engineering to fix root causes.

The role focuses on building engineered AI security controls and security tooling for secure-by-default development. Candidates should have 5+ years in application security, strong coding background, and deep AI security knowledge.

Qualifications

  • 5+ years of experience in application security or product security.
  • 5+ years of coding experience in one or more general-purpose languages, including shipping and operating production services.
  • 5+ years of experience with security assessments, secure design reviews or threat modelling.
  • Solid understanding of generative AI, LLMs and AI agents, and how they're built and deployed in production.
  • Deep knowledge of AI-specific attack classes and how they apply to real systems.
  • Experience securing agentic, code-execution or LLM-integrated systems.
  • A track record of finding and reasoning about real vulnerabilities in real systems.
  • Experience building engineered security controls, not just flagging issues.
  • Hands-on cloud and container security experience on AWS, Azure or GCP.
  • Strong presentation skills, with the ability to translate complex technical and security topics into clear business terms for a wide range of stakeholders.
  • Good English skills, enabling confident communication in an international environment.

Responsibilities

  • Work on the security assessment and secure design review of AI, LLM and agentic systems across InPost's technology estate.
  • Identify, reproduce and reason about real vulnerabilities in AI-powered and agentic systems, and work with engineering teams to fix them at the root cause.
  • Define and build engineered security controls for AI/ML and LLM-related risks.
  • Build security automation and developer-facing tooling that helps product and engineering teams build securely by default.
  • Review new AI solutions and system architectures for security risk, and represent security in AI governance forums and the AI solutions catalogue.
  • Apply hands-on cloud and container security practices across AWS, Azure and GCP to secure the infrastructure AI systems run on.
  • Act as a go-to expert on AI-specific attack classes, keeping InPost's defences ahead of an evolving threat landscape.
  • Translate complex technical and security findings into clear, practical guidance for stakeholders across the business.

Skills

App security
Coding
Threat modelling
AI/LLM security
Cloud security

Job description

InPost is seeking a security leader to oversee AI/LLM and agentic systems security across its technology estate. You will assess risks, reproduce vulnerabilities, and collaborate with engineering to fix root causes.

The role focuses on building engineered AI security controls and security tooling for secure-by-default development. Candidates should have 5+ years in application security, strong coding background, and deep AI security knowledge.

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