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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
A leadership role within the Cloud Platform team that oversees the development, innovation, and delivery of industry-leading Azure security solutions: identity and Zero Trust, threat protection, data protection and governance, and secure AI adoption.
Lead and manage a team of cybersecurity consultants, driving cloud security initiatives and client engagements.
Design and build Azure integration solutions, develop CI/CD pipelines, and manage infrastructure as code.
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 +