Role: Azure Infra AI Operations & Platform Engineer
Industry Type: IT Services & Consulting
Department: Data Science & Analytics
Employment Type: Full Time, Permanent
Role Category: Data Science & Analytics - Other
UG: B.Tech / B.E. in Any Specialization
Role & responsibilities
1. AI Operations Engineering
ò Build AI agents for incident investigation, root cause analysis, monitoring, alert triage, and operational automation.
ò Develop agentic workflows using LangGraph, LangChain, Semantic Kernel, or equivalent.
2. Cloud & Infrastructure Engineering
ò Design, deploy, and maintain Azure infrastructure solutions.
ò Support hybrid cloud environments spanning Azure and on-premises infrastructure.
ò Implement Infrastructure-as-Code using Terraform or Bicep.
3. Platform Engineering & Automation
ò Develop automation solutions for provisioning, deployment, compliance, governance, and operational management.
ò Build self-service infrastructure and platform capabilities.
4. Observability & Operational Intelligence
ò Implement monitoring, logging, tracing, and observability solutions.
ò Build operational dashboards and automated investigation capabilities.
5. DevOps & Delivery Enablement
ò Design and maintain Azure DevOps pipelines and deployment frameworks.
ò Support Git-based development practices and CI/CD.
6. Governance & Security
ò Implement Azure Policies, Defender for Cloud controls, and governance frameworks.
ò Ensure AI solutions align with enterprise security and operational requirements.
Preferred Skills:
- Strong Azure infrastructure experience
- Azure networking, identity, security, monitoring, and governance
- Azure DevOps and CI/CD pipelines
- PowerShell and Python
- Bicep
- Understanding of AI, LLMs, AI Agents, and automation
- API integration and cloud services
- Strong troubleshooting and root cause analysis skills
Mandatory skills: - LangGraph, LangChain, Azure AI Foundry, Azure OpenAI
- Vector databases and RAG architectures
- OpenTelemetry
- AKS and Container Apps
Preferred skill distribution:
- 40% Infrastructure & Cloud Engineering
- 20% DevOps & Platform Engineering
- 20% AI & Agent Development
- 20% Automation & Software Development
Qualifications
Educational qualification:
- BE, BTech, BCA, BSc (IT) MCA, MBA (IT) and MSc(IT)
Experience :
- Total 7+ years of experience in Azure Infra and AI Automation.
- 5+ years in Azure Infrastructure, Cloud Operations, Platform Engineering, or DevOps.
- 2+ years in automation and software development.
- Experience building operational tools, dashboards, or automation platforms.
- Exposure to AI, LLMs, AI agents, or AI-powered operational use cases.
Preferred candidate profile
Perks and benefits