GCP AI Architect

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 VegasTCS showcased 3,000 AI agents for enterprises, combining its industry knowledge with Gemini Enterprise.

Role: Gemini Enterprise Agent Platform Solution Architects

Responsibility:

1. AI, GenAI & Agentic Architect
2. PreSales & Client Advisory
3. Technology Leadership
4. 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