Azure AI Engineer

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🕒 May 29

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eduCLaaS

WebsiteLinkedInAll Job Openings

51 - 200 employees

📚 Education

🏢 Enterprise

🤖 Artificial Intelligence

Education • Enterprise • Artificial Intelligence

eduCLaaS is a digital skills accelerator aimed at bridging the digital skills gap for a productive work life. It delivers Competency Learning as a Service (CLaaS), providing on-demand, competency-based education through a blended-learning approach. The platform focuses on cultivating essential digital competencies and job-specific skills using a 70:20:10 learning model that integrates on-the-job training and real-life projects to enhance the employability of both experienced and inexperienced individuals. eduCLaaS collaborates with various stakeholders across sectors to promote lifelong learning and digital transformation in the workforce.

📋 Description

• Design, build, and deploy AI-powered applications on Azure • Work with Azure AI Services, Azure OpenAI, Copilot Studio, Power Platform, and multi-LLM orchestration to deliver chatbots, knowledge assistants, and enterprise copilots • Collaborate with data engineers and business teams to create production-ready AI solutions that are scalable, secure, and impactful • Build AI applications: chatbots, knowledge assistants, and copilots • Implement multi-LLM orchestration across Azure OpenAI, OpenAI, and other providers • Work with data engineers to leverage datasets for RAG workflows • Integrate AI solutions into business processes using Power Platform • Deploy AI apps on Azure (Functions, App Services, AKS, VMs) • Implement CI/CD and MLOps pipelines using Azure DevOps or GitHub Actions • Monitor performance, reliability, and cost using Azure Monitor and Application Insights • Maintain technical documentation and reusable assets • Stay current with Azure AI, Copilot, and related technologies

🎯 Requirements

• 5–6 years of experience in AI, software development, or Azure applications • Bachelor’s or Master’s in Computer Science, AI/ML, or related field • Microsoft certifications: AI-102, AZ-204, DP-100, AZ-400 • Hands-on experience with: Azure AI Services and Azure OpenAI Copilot Studio and Power Platform • Python or C# for AI/LLM development • Deploying applications on Azure • Experience with RAG pipelines, vector search, or knowledge integration • Understanding of security, governance, and compliance in Azure • Nice to Have: Experience integrating AI into enterprise systems (CRM, ERP, LMS), Prompt engineering, fine-tuning, and evaluation of LLMs, Infrastructure-as-code: ARM, Bicep, or Terraform, Agile/Scrum experience

🏖️ Benefits

• Professional development opportunities