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Responsibilities
Key ResponsibilitiesDesign, implement, and validate security controls for enterprise AI systemsSupport secure AI/LLM development, deployment, and governance initiativesEstablish secure-by-design principles across enterprise AI platformsConfigure and enforce AI security guardrails and policiesEvaluate AI Runtime Protection and AI-SPM solutionsEnsure compliance with AI governance and regulatory requirements (GDPR, EU AI Act, etc.)Required SkillsStrong AWS cloud engineering & security architecture experienceHands-on experience with AI security principles and controlsExperience securing AI pipelines and enterprise AI ecosystemsKnowledge of Databricks, Bedrock, MLflow, Terraform, UiPath, n8nFamiliarity with AI governance, compliance, and risk managementStrong deployment, integration, and operationalization experiencePreferred Background4–6 years of AWS cloud implementation & integration experience2–4 years in security-focused engineering rolesExperience with enterprise AI platforms such as ChatGPT Enterprise and AWS Bedrock
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