AI Azure Cloud Infrastructure Architect

3 hours ago

Delhi, India Connektika Technology Solutions Full time
As an AI Azure Cloud Infrastructure Architect, you will play a pivotal role in shaping our organisation's technological future. You will be responsible for designing, implementing, and managing complex AI-powered solutions on the Microsoft Azure platform. Your expertise will be instrumental in ensuring the scalability, reliability, and security of our critical infrastructure.

Key Responsibilities:

Cloud Architecture:

- Design and implement robust and scalable cloud architectures on Azure, leveraging a variety of services such as Azure Compute, Storage, Networking, and Security.- Develop and maintain comprehensive cloud infrastructure documentation, including diagrams, scripts, and procedures.- Collaborate with cross-functional teams to define and implement cloud strategies aligned with business objectives.

AI Infrastructure:

- Architect and deploy AI and machine learning solutions, including data pipelines, model training, and inference pipelines.- Optimise AI workloads for performance and cost-efficiency by leveraging Azure AI services like Azure Machine Learning, Azure Cognitive Services, and Azure Synapse Analytics.- Stay up-to-date with the latest advancements in AI and machine learning technologies and incorporate them into our solutions.

Security and Compliance:

- Implement robust security measures to protect sensitive data and infrastructure, adhering to industry best practices and compliance standards.- Conduct regular security assessments and vulnerability scans to identify and mitigate potential threats.- Stay informed about emerging security threats and vulnerabilities and implement appropriate countermeasures.

Automation and DevOps:

- Automate infrastructure provisioning, configuration, and deployment using Infrastructure as Code (IaC) tools like Azure DevOps, Terraform, or Ansible.- Implement continuous integration and continuous delivery (CI/CD) pipelines to streamline the development and deployment process.- Monitor system performance, identify bottlenecks, and implement optimization strategies.

Collaboration and Leadership:

- Collaborate with data scientists, software engineers, and other stakeholders to understand their requirements and translate them into technical solutions.- Mentor and guide team members on cloud technologies, AI, and best practices.- Provide technical leadership and expertise to drive innovation and solve complex technical challenges.

Required Qualifications:

- Strong understanding of cloud computing concepts, particularly Microsoft Azure.- Proven experience in designing, implementing, and managing complex cloud infrastructures.- Deep knowledge of AI and machine learning concepts, including data pipelines, model training, and deployment.- Proficiency in scripting languages (Python, PowerShell) and infrastructure as code tools (Terraform, Ansible).- Experience with Azure DevOps or similar CI/CD tools.- Strong understanding of security best practices and compliance standards.- Excellent problem-solving and troubleshooting skills.- Strong communication and interpersonal skills.- A passion for emerging technologies and a continuous learning mindset.- Azure certifications (e.g., Azure Solutions Architect Expert, Azure DevOps Engineer Expert).- Experience with containerization technologies (Docker, Kubernetes).- Knowledge of big data technologies (Hadoop, Spark, Databricks).- Experience with serverless computing (Azure Functions, Azure App Service).

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