Job Title: AI Agent & Cloud Automation Engineer
Required Skillset: Azure AI foundary, LLM, observability, RAG, vector DB
Location: PAN INDIA
Experience Range: 8+ years
Job Description:
Design, build and operate scalable cloud automation across AWS and Azure enabling secure and standardized adoption.
Required Skills & Qualifications:
• LangGraph
• LangChain
• Semantic Kernel
• Azure AI Foundry
• Azure OpenAI
• RAG
• Multi-Agent Systems
• MCP
• AI Observability
• LLMOps
• Prompt Flow
• Azure AI Search
• Agentic AI
• Copilot Studio
• Vector Databases
• AI Governance
• AI Guardrails
• GenAI Solution Design
Key Responsibilities:
Cloud automation engineering
• Design and implement automation for cloud service provisioning (AWS and Azure)
• Develop and maintain infrastructure as code (IaC) using Terraform or similar tools
• Build and enhance automation APIs, scripts, and workflows
• Contribute to shared automation frameworks and reusable components
Platform and landing zone enablement
• Support and evolve cloud landing zone capabilities,
including account/subscription setup
• Implement and maintain “Day One” baseline configurations (networking, security, IAM)
• Troubleshoot and remediate non-standard or legacy cloud environments
• Ensure adherence to enterprise standards for security, tagging, and governance
DevOps and CI/CD integration
• Develop and maintain CI/CD pipelines (GitLab preferred)
• Manage repositories, merge requests, and release workflows
• Enable self-service automation for engineering teams
Cloud operations and support
• Provide advanced troubleshooting across:
• IAM roles and permissions
• Networking (VPC, DNS, private endpoints)
• Automation execution failures
• Support onboarding of recent cloud accounts and workloads
• Partner with engineering and operations teams to resolve production issues
Cross-team collaboration
• Work closely with:
• Cloud architects
• Security and compliance teams
• Platform engineering teams
• Translat