Live opening · Posted 8 days ago

GCP AI Architect

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 8 days ago
CompanyTata Consultancy Services Limited
LocationBengaluru, Karnataka, India (On-site)
Work modeNo
SourceLinkedin
Listed8 days ago

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About the role

Description supplied by the original job listing.

Greetings from TCS!!
About GBU:
The TCS Google Business Unit (GBU) is a strategic growth engine focused on strengthening go-to-market execution, and deepening customer engagement across Google priority domains. As part of the TCS Cloud Unit, GBU operates alongside AWS and Microsoft as a hyperscaler-aligned business, driving Google Cloud–led transformation at scale.
TCS is Google Cloud Diamond Partner, with GBU at the forefront of shaping and delivering large, high-value engagements globally.
GBU is driving accelerated growth through a focused and structured GTM strategy, with a strong emphasis on AI-led transformation, talent readiness, and co-innovation with Google:
Large Deal-Led Growth – Driving strategic, high-value wins in close collaboration with TCS industry verticals and service lines
Account-Led Growth – Scaling presence and value creation within key anchor accounts
Partner-Led Growth – Leveraging Google investment programs and deep engagement with Google’s Professional Services ecosystem
TCS continues to make strong, outcome-driven investments in its Google Cloud ecosystem. These investments are translating into market leadership, differentiated partner recognition, and accelerated deal momentum, reinforcing TCS as a preferred global Google Cloud partner.
To mention TCS was Marquee Sponsor at Google Cloud Next ’26 that took place in Las Vegas TCS showcased 3,000 AI agents for enterprises, combining its industry knowledge with Gemini Enterprise.
Role: Gemini Enterprise Agent Platform Solution Architects
Responsibility:
AI, GenAI & Agentic Architect
PreSales & Client Advisory
Technology Leadership
AI Governance, Risk & Responsible AI
Must Have Skills: GCP, Presales, AI/ML, Gen AI
Location: Pan India
Experience: 12 to 20 years
Qualification: B.E/B.Tech , BSC, BA, MBA, M.Tech, BCA, MSC
Certification:
Google Cloud Professional Machine Learning Engineer
Google Cloud Professional Cloud Architect
GenAI‑focused certifications are a plus
Eligibility Qualification:
8+ years in data, ML, or cloud architecture roles
3+ years in AI/ML or GenAI solution design
Experience in client‑facing or pre‑sales solutioning role
Ability to articulate business value of AI and GenAI solutions
Strong communication skills with technical and executive stakeholders

Work arrangement
No

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