Azure Cloud Engineer – AI, Multi-Agent Systems, and Security at Dataflix

Overview:
Dataflix is looking to onboard an Azure Cloud Engineer specializing in AI, Multi-Agent Systems and Security. He/She will be responsible for designing, implementing and managing Azure cloud solutions that integrate advanced AI models, autonomous multi-agent systems, and robust security measures.

Responsibilities:

• Design, implement, and deploy multi-agent systems that can operate autonomously or in coordination with other agents within cloud environments.
• Design and implement scalable, AI-driven solutions on Azure, leveraging services like Azure Machine Learning, Azure Cognitive Services, and Azure Databricks.
• Integrate machine learning models into production environments and optimize them for performance and scalability.
• Collaborate with data scientists and AI engineers to deploy and manage advanced AI models in a cloud environment.
• Manage and optimize Azure cloud infrastructure (virtual networks, compute, storage, and AI resources) for efficient operation of AI and multi-agent systems.
• Integrate various Azure services (e.g., Azure Functions, Azure Service Bus) to support multi-agent communication, coordination, and orchestration.
• Work with AI and distributed system concepts to build efficient agent-based systems that operate in parallel, interact, and solve complex tasks on Azure.
• Implement Azure monitoring solutions (e.g., Azure Monitor, Log Analytics) to track the performance of AI systems and multi-agent applications.
• Troubleshoot performance issues, system errors, and security incidents related to AI models, agents, and cloud infrastructure.
• Develop and enforce best practices for the deployment of secure AI models and multi-agent systems in the Azure cloud.

Requirements:

• Bachelor’s degree in Computer Science, Engineering, Artificial Intelligence, Data Science, or related field (or equivalent experience).
• 5+ years of experience in Azure cloud engineering with a focus on AI, machine learning, and/or multi-agent systems.
• Proven experience in designing, deploying, and managing AI and ML solutions on Azure (Azure Machine Learning, Cognitive Services, Databricks).
• Familiarity with multi-agent system design and implementation (e.g., autonomous agents, agent-based modeling).
• Proficiency in Azure cloud services, especially for AI workloads (Azure Machine Learning, Azure Cognitive Services, Azure Kubernetes Service).
• Strong understanding of security concepts (encryption, identity management, role-based access control, secure cloud networking).
• Familiarity with cloud-native application development and microservices architectures.
• Strong programming skills in languages like Python, C#, or JavaScript especially in the context of AI and cloud-based systems.
• Experience with security compliance frameworks and tools within Azure (e.g., Azure Security Center, Key Vault).