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GCP Application Modernization Presales Architect

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Onsite

GCP Application Modernization Presales Architect

Tata Consultancy Services

GCP Application Modernization Presales Architect

Skills

Google Cloud PlatformSQL QueriesReactDevOpsMicroservicesCybersecurityAIKubernetesSAP ERPCloud Architect

1 month ago

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Important information


Contract type:

Permanent

Location:

Chennai, Tamil Nadu, India

Work mode:

Onsite

Published on:

21 September 2026

What they need


Greetings from Tata Consultancy Services!

Join us and be part of TCS's AI Cloud transformation journey!

About the Unit:

TCS Cloud is accelerating the shift to an AI-powered, cloud-first future. As a strategic transformation partner to the world's leading enterprises, it is helping businesses reimagine their core, modernise platforms, unlock data-driven intelligence, and scale innovation through cloud, AI, cybersecurity, automation, and digital engineering. By combining deep industry expertise with cutting-edge technologies, TCS Cloud is enabling the rise of agile, resilient, and intelligent enterprises built to thrive in a rapidly evolving digital world.

Weekend Virtual Drive | TCS AI Cloud Team

Date: 26th Sep 2026

Mode: Virtual Interview

Job Title: GCP Application Modernization Presales Architect

Job Location: PAN INDIA

Experience Required: 10- 20 YEARS

Job Description:

Must Have:

As a GCP Application Modernization Architect you will be responsible for designing & architecting solutions which focuses on transforming legacy, monolithic, and VMbased applications into cloud****native, scalable, and resilient architectures.

Responsibility:

  • Solution Design: Architect Application Modernization solutions (GKE, Cloud Run, Apigee) integrated with Agentic Workflows.
  • Cloud-Native Transformation: Architect the "landing zones" for modern apps using Google Kubernetes Engine (GKE) and Cloud Run.
  • Microservices & API Management: Design secure, scalable API layers using Apigee to allow AI agents to interact with legacy "Systems of Record" (SAP, Mainframes, SQL).
  • DevSecOps & Platform Engineering: Define CI/CD pipelines that incorporate LLMOps for continuous testing and deployment of agentic components.
  • Multi-Agent Orchestration: Design architectures where multiple specialized agents collaborate using frameworks like LangGraph, CrewAI, or Vertex AI Agent Builder.
  • Reasoning & Action (ReAct): Design solutions which involve implementing "Reasoning Engines" that allow applications to perceive state, plan steps, and take actions via Function Calling.
  • Grounding & RAG: Architect sophisticated Retrieval-Augmented Generation (RAG) pipelines using Vertex AI Search and Vector Search (on Spanner or BigQuery) to ensure agent accuracy.
  • Human-in-the-Loop (HITL): Design governance checkpoints where autonomous agents pause for human approval during critical business transactions.

Certifications (Preferred)

  • Google Cloud Professional Cloud Architect
  • Certified Kubernetes Administrator (CKA), DevOps or equivalent

Research Study: Cloud strategy and transformation- https://www.tcs.com/what-we-do/services/consulting/cloud-strategy-transformation

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