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Lead the design of secure information security architectures and ensure technology initiatives are delivered within a robust security framework.
Seeking Security Engineers/Architects to design and implement secure digital environments focusing on Microsoft’s E5 security suite and Microsoft Purview.
Lead and manage the organization’s security initiatives, focusing on secure software development lifecycle, vulnerability management, and strategic leadership.
Design, implement, and manage enterprise-scale Azure environments, ensuring secure, scalable, and cost-effective cloud solutions.
We offer competitive compensation and benefits, a comprehensive talent development program, and a reward system in which employees share in the success of the company.
En tant qu’Architecte Cloud Solutions Microsoft Azure, vous serez responsable de la conception et de l’implémentation de solutions cloud innovantes et performantes pour nos clients.
Execute full ownership over the technical trajectory of assigned product-specific opportunities, securing the Technical Win. Define and execute customized, deep-dive technical demonstrations.
Provide operational support for Azure infrastructure during critical cutover and hypercare activities.
Build, deploy and maintain SaaS environment on Azure, manage infrastructure, CI/CD pipelines, and operational support.
testtriangle · Posted Nov 6, 2026
Lead the design, implementation and security of the organisation’s Microsoft Azure cloud environment, ensuring alignment with public sector cybersecurity requirements.
Diverse Lynx · Posted Nov 5, 2026
Bill Rate-$100 Location: Jersey City, NJ. Hybrid. Role Descriptions: AI Security Architect Essential Skills: AI Security Architect Skills: Cyber Security~Generative AI~AI Agents Experience Required: 10 & Above Top 3 Required Skills 1. Agentic AI & Multi-Agent Security Architecture, secure agent design, agent identity and authorization, least-privilege access, agent-to-agent security 2. LLM & GenAI Security, prompt-injection defense, data leakage prevention, secure RAG, Ontology, Data Gov, model/API security, OWASP LLM security, AI threat modeling 3. MCP, Tool & Cloud Security, Model Context Protocol (MCP) security, tool/API access controls, secrets management, IAM/RBAC, Zero Trust, Azure/AWS security Top 3 Preferred Skills 1. Agentic AI Platforms & Frameworks, Anthropic Claude, LangGraph/LanEligible to workhain, Semantic Kernel, multi-agent orchestration 2. AI Security Governance & Frameworks, NIST AI RMF, MITRE ATLAS, OWASP Top 10 for LLM Applications, responsible AI, AI risk assessment and governance 3. DevSecOps & AI Security Engineering, secure CI/CD, AI red teaming, adversarial testing, vulnerability management, security monitoring and observability Education Requirements: Bachelor's / Masters degree in Computer Science, Information Technology, Cybersecurity, Engineering, or a related technical discipline • Years of Experience: 12 +