Cyber - AI Cloud Security Engineer - Senior Consultant

Responsibilities: Design secure architectures for generative and agentic AI, RAG, and model-serving applications; apply AI Zero Trust across models, APIs, data, and runtimes Embed security across the AI software development lifecycle including threat modeling, gates, and prompt/data governance Implement secure AI workloads across AWS, Azure, Google Cloud, and hybrid environments (landing zones, isolation, encryption, IAM, data protection) Develop AI security capabilities to identify, prioritize, test, and remediate vulnerabilities across code, APIs, configurations, and AI workloads Build production AI security applications and platforms with APIs, microservices, observability, and various testing (unit/integration/security/AI evaluation) Lead client discovery, architecture sessions, design reviews, deployments, and handoff; create reference architectures and playbooks; mentor engineers

Key requirements: Bachelor’s degree or equivalent in information technology, computer science, AI, cybersecurity, or software engineering; 3+ years in software/AI/cybersecurity/ cloud security or technology consulting Hands-on experience with at least one AI platform (Anthropic Claude, Claude Code, OpenAI, Google Gemini, Amazon Bedrock, Vertex AI) Experience designing or implementing cloud security architecture and DevSecOps practices Proficiency in Python, TypeScript, JavaScript, Go, or Java with API and cloud applications; automated testing, deployment, observability Travel up to 50% Limited immigration sponsorship may be available Independent yet collaborative work style Strong written and verbal communication Attention to detail and quality of work AI platforms: Anthropic Claude, Claude Code, OpenAI, Google Gemini, Amazon Bedrock, Vertex AI AI security controls and Zero Trust architectures for models, data, tools, and runtimes AI red teaming, prompt security testing, RAG security testing, responsible AI testing