Gemini Solution Architect

Greetings from TCS..!!
TCS is hiring for the role "Gemini Solution Architect"
Experience : 10 to 20 years
Location : Pan India
Interview Mode : Virtual Interview
Role Summary:
The GCP AI, GenAI & Agentic AI Architect will be responsible for designing and shaping enterprise‑grade AI, Generative AI, and Agentic AI solutions on Google Cloud Platform. The role focuses on translating business problems into scalable, secure, and governable AI architectures, supporting pre‑sales solutioning, architecture definition, and early delivery alignment. The architect acts as a technical authority across ML platforms, GenAI systems, LLM integration, and autonomous agent frameworks.
Roles & Responsibilities:
Design end‑to‑end AI and GenAI architectures on GCP, covering data pipelines, model development, inference, orchestration, and monitoring.
Architect LLM‑based applications, including Retrieval‑Augmented Generation (RAG), prompt orchestration, multi‑model strategies, and tool/function calling.
Design Agentic AI systems, including task‑oriented agents, planners, tool‑using agents, and autonomous workflows.
Define As‑Is / To‑Be AI architectures, AI modernization roadmaps, and platform blueprints.
Strong expertise in GCP AI stack (Vertex AI, model training, deployment, inference)
Gemini Enterprise for Customer Experience (GECX). Create agentic AI solution using GECX
Lead AI/GenAI pre‑sales engagements, including discovery workshops, solution walkthroughs, and executive presentations.
Translate business use cases into practical AI, GenAI, and Agentic AI solutions with clear value articulation.
support RFPs, proposals, estimates, and AI platform solution narratives.
Architect solutions using GCP AI and data services such as Vertex AI, BigQuery, Dataflow, Dataproc, Cloud Storage, Pub/Sub, and Cloud Run.
Guide LLM integration using Google models and third‑party LLMs, ensuring portability and extensibility.
Define model lifecycle management, MLOps, monitoring, and inference optimization.
Define guardrails for responsible AI, including bias mitigation, hallucination control, access controls, and auditability.
Design architectures for model governance, explainability, observability, and cost control.
Support enterprise frameworks for AI risk management and compliance.
Ensure AI solutions meet security, governance, compliance, and data privacy requirements.
Experience :
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
Certifications (Preferred):
Google Cloud Professional Machine Learning Engineer
Google Cloud Professional Cloud Architect
GenAI‑focused certifications are a plus

Work arrangement
No