Azure AI Cloud Engineer

Sensiple - Bloomfield, CT

Full-time

Bloomfield, CT

Professional, Scientific, and Technical Services

About the position

The Azure AI Cloud Engineer position at Sensiple Inc. involves designing, deploying, and managing Azure Cognitive Services, as well as developing machine learning models using Azure AI Studio and Azure ML Studio. The role requires expertise in Terraform for automating Azure resource management and collaboration with cross-functional teams to implement cloud solutions that align with business needs. The engineer will also be responsible for monitoring Azure services, ensuring compliance with security standards, and troubleshooting infrastructure issues.

Responsibilities

• Design, deploy, and manage Azure Cognitive Services including Speech Services, Text Translation, OpenAI, and Azure Search.
• Utilize Azure AI Studio and Azure ML Studio to develop, train, and deploy machine learning models.
• Develop and maintain Terraform configurations to automate the provisioning and management of Azure resources.
• Collaborate with cross-functional teams to define and implement cloud solutions that meet business requirements.
• Perform POC and prototype solutions to demonstrate feasibility and value in enterprise environments.
• Monitor and optimize the performance, security, and cost of Azure services.
• Ensure compliance with industry standards and best practices for cloud security and governance.
• Troubleshoot and resolve issues related to Azure infrastructure and services.
• Document processes, configurations, and best practices.

Requirements

• Strong experience with Azure Cognitive Services (Speech Services, Text Translation, OpenAI, Azure Search) and other Azure services.
• Hands-on experience with Azure AI Studio and Azure ML Studio for developing and deploying machine learning models.
• Demonstrated experience in writing and managing Terraform configurations for Azure resource provisioning.
• Solid understanding of cloud architecture principles, best practices, and design patterns.
• Proficiency in scripting languages such as PowerShell, Bash, or Python for automation and orchestration.
• Proven ability to conduct POC and prototype solutions in large-scale enterprise environments.
• Knowledge of Azure networking, security, and compliance best practices.
• Strong analytical and troubleshooting skills to diagnose and resolve complex issues.
• Excellent communication skills and the ability to work effectively in a collaborative team environment.

Nice-to-haves

• Experience with other Infrastructure as Code (IaC) tools like ARM templates or Ansible.
• Familiarity with CI/CD pipelines and tools such as Azure DevOps or GitHub Actions.
• Knowledge of containerization technologies like Docker and orchestration platforms like Kubernetes.
• Experience with monitoring and logging tools such as Azure Monitor, Log Analytics, or Splunk.