Tata Consultancy Services
GCP Application Modernization Presales Architect
Skills
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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