Live opening · Posted 2 days ago

AI & Cloud Automation Engineer

Tata Consultancy Services Limited · Bengaluru, Karnataka, India (On-site)
Linkedin No
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At a glance

The key details from the original listing.

Posted 2 days ago
CompanyTata Consultancy Services Limited
LocationBengaluru, Karnataka, India (On-site)
Work modeNo
SkillsAWS, Azure, Terraform
SourceLinkedin
ListedPosted 2 days ago

About the role

Description supplied by the original job listing.

Greeting from TCS!!!
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 new 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
Translate requirements into scalable automation solutions
Contribute to documentation, standards, and best practices
Thanks & Regards,
Ria Aarthi A.

Work arrangement
No

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