Gemini Solution Architect

TCS · Chennai

Source and collection record

Last observed by our collector: 9 October 2026 at 1:11 am IST. This is not a manual review or a confirmation from the employer.

Employer requisition: 430767

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Collected minimum qualification: BACHELOR OF ENGINEERINGAttendance and availability: I checked the employer page for work location, office attendance, start date and duration.Current requisition: I checked the current employer requisition and its application requirements.

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Collected role description

Role: Gemini Solution Architect Exp: 10 to 20 years Location: Pan India Qualifications: BCA, BSC, BE Role Summary: As a Gemini Enterprise Presales Architect you shall serve a trusted advisor to enterprise customers, helping them envision, design, and adopt AI-driven business solutions leveraging Google Gemini, Vertex AI, Agent space, and the broader Google Cloud ecosystem. The role combines solution architecture, presales consulting, deal support, business value articulation, and customer engagement to drive AI transformation initiatives. Responsibility: AI Solution Architecture Design end-to-end Generative AI and Agentic AI solutions leveraging Google Gemini models and Vertex AI. Develop scalable, secure, and compliant AI reference architectures. Create agentic AI solution using GECX Design reusable AI solution assets, industry use cases, and accelerators. Technical skills Proficiency - Gemini Enterprise, Vertex AI, AI Agents / Agentic AI, Prompt Engineering, Retrieval Augmented Generation (RAG), Vector Databases, Machine Learning & AI Platforms, Data Engineering & Analytics, API Integration, Google Cloud Architecture Presales & Client Advisory Lead technical solutioning for AI opportunities, RFPs, RFIs, and customer proposals. Create solution blueprints, effort estimates, implementation roadmaps, and pricing assumptions. Job Description: Good experience in Presales Solution architect in AI, data, ML, or cloud architecture roles Hands-on experience in GCP Agentic AI, 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 direct to customer team Strong communication skills with technical and executive stakeholders Certifications (Preferred) Google Cloud Professional Machine Learning Engineer Google Cloud Professional Cloud Architect GenAI‑focused certifications are a plus </ul

Collected minimum qualification

BACHELOR OF ENGINEERING

Collected experience requirement

10 - 20 Years