Role Summary

We are seeking an experienced GCP AI Solution Architect to design, architect, and lead the implementation of enterprise-scale AI, Generative AI, and Agentic AI solutions on Google Cloud Platform (GCP). The candidate will work closely with business stakeholders, product teams, and engineering teams to define scalable AI architectures and drive successful delivery.

Experience

- 10+ years of IT experience

- 4+ years in Cloud Solution Architecture

- 3+ years in AI/ML and Generative AI solutions

- Hands-on experience with GCP AI services

Key Responsibilities

- Design end-to-end AI/GenAI solutions on GCP.

- Define enterprise architecture, security, governance, and scalability standards.

- Architect Agentic AI solutions leveraging LLMs, RAG, vector databases, and orchestration frameworks.

- Conduct technical workshops and solution discovery sessions.

- Collaborate with business stakeholders to translate requirements into scalable AI solutions.





- Provide architectural guidance to development and DevOps teams.

- Ensure compliance with security, responsible AI, and data governance standards.

- Lead PoCs, MVPs, and production implementations.

Technical Skills

Mandatory

- Google Cloud Platform (GCP)

- Vertex AI

- Gemini Models

- BigQuery

- Cloud Run

- GKE (Google Kubernetes Engine)

- Cloud Functions

- Pub/Sub

- API Gateway

- IAM & Security Controls

- RAG Architecture

- Vector Databases (Pinecone, Weaviate, Vertex AI Vector Search)

- LangChain / LangGraph

- Multi-Agent Architecture Design

Preferred

- Knowledge Graphs

- MLOps

- Terraform

- CI/CD

- Data Engineering concepts

Certifications (Preferred)

- Google Professional Cloud Architect

- Google Skilled Machine Learning Engineer

📌 Gcp Architect (Bengaluru)
🏢 Capgemini
📍 Bengaluru