Senior Consultant, Apps & AI

Microsoft Microsoft · Big Tech · Sepang, Selangor, Malaysia · Technology Consulting

Senior Consultant focused on delivering AI-enabled applications and cloud solutions on Azure, including agentic AI systems and RAG architectures. Responsibilities span from pre-sales to end-to-end delivery, emphasizing scalable architectures, full-stack development, and DevOps practices.

What you'd actually do

  1. Provide strong client-facing consulting, demonstrating communication, stakeholder management, problem-solving, and team leadership, while acting as a trusted advisor across pre-sales and delivery
  2. Assess business requirements and identify high-value AI-enabled application opportunities, translating them into scalable architectures, solution designs, and delivery roadmaps
  3. Design and build scalable, secure full-stack applications using modern frameworks and backend technologies (.NET, Java, Node.js, Python) with microservices and distributed systems
  4. Deliver AI-enabled applications using Azure OpenAI, Azure AI Services, and custom ML models, including agentic AI systems and optimized RAG architectures
  5. Architect cloud-native solutions on Azure, ensuring scalability, resilience, security, identity integration, and alignment with enterprise best practices

Skills

Required

  • Microsoft Azure
  • Azure OpenAI
  • Azure AI Services
  • custom ML models
  • agentic AI systems
  • RAG architectures
  • full-stack development
  • .NET
  • Java
  • Node.js
  • Python
  • microservices
  • distributed systems
  • cloud-native solutions
  • DevOps
  • Infrastructure-as-Code
  • DevSecOps
  • CI/CD pipelines
  • monitoring
  • observability
  • SRE
  • incident management
  • Azure Kubernetes Services
  • Azure PowerShell
  • Azure CLI
  • Visual Studio Code
  • ARM templates
  • Terraform
  • Azure DevOps
  • Azure Identity solutions
  • Active Directory
  • Azure Active Directory
  • Azure AD B2B
  • Azure AD B2C
  • Azure Security Services
  • Microsoft Defender for cloud
  • Azure Log Analytics

Nice to have

  • AWS
  • GCP
  • multi-phase global implementations

What the JD emphasized

  • deep technical background
  • 10+ years of technology-related experience
  • 3+ years of Microsoft Azure
  • production-ready

Other signals

  • AI-enabled application opportunities
  • Azure OpenAI
  • Azure AI Services
  • custom ML models
  • agentic AI systems
  • optimized RAG architectures
  • cloud-native solutions on Azure
  • DevOps and platform engineering practices
  • production-ready