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Tcs Hiring | Cloud AI Architect - Multi Cloud | Pan India | 16 to 22 Years

Tcs Hiring | Cloud AI Architect - Multi Cloud | Pan India | 16 to 22 Years

Tata Consultancy Services
Early Applicant
  • Posted 12 days ago
  • Be among the first 20 applicants

Job Description

TCS Hiring | Cloud AI Architect - Multi Cloud | Pan India | 16 to 22 Years

TCS is hiring experienced Cloud AI Architects to lead the design and implementation of enterprise-scale AI solutions across multi-cloud environments. If you have deep expertise in Azure OpenAI, AWS Bedrock, Vertex AI, RAG architectures, MLOps/LLMOps, and AI platform governance, we would like to connect with you.

Role: Cloud AI Architect - Multi Cloud

Experience: 18-22 Years

Location: Pan India

Key Responsibilities

  • Own end-to-end architecture, technical design, and solution documentation.
  • Translate business requirements into secure, scalable, and enterprise-grade AI solutions.
  • Collaborate with stakeholders, delivery teams, and SMEs to define requirements, risks, and dependencies.
  • Establish reusable AI patterns, standards, governance frameworks, and best practices.
  • Review solution designs, estimates, and implementation deliverables to ensure quality and delivery readiness.
  • Support technical governance, issue resolution, knowledge sharing, and continuous improvement initiatives.

Must-Have Skills

  • Cloud AI services across AWS, Azure, and GCP
  • Azure OpenAI, AWS Bedrock, Vertex AI
  • AI model hosting and deployment strategies
  • RAG (Retrieval-Augmented Generation) architectures
  • Vector databases
  • Responsible AI and AI governance
  • MLOps / LLMOps
  • Data privacy, security, and compliance
  • API integration and platform engineering
  • Observability, monitoring, and cost optimization

Good-to-Have

  • GenAI solution architecture and model evaluation
  • Responsible AI controls and guardrails
  • Reusable AI accelerators/frameworks
  • Pre-sales solutioning experience
  • Enterprise Architecture review and governance processes

More Info

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Key Skills

Observability monitoring and cost optimization

AWS Bedrock

API integration and platform engineering

AI model hosting and deployment strategies

LLMOps

Responsible AI and AI governance

Vector databases

Vertex AI

Data privacy security and compliance

Azure OpenAI