Role & responsibilities

- 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
- 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.

Mandatory skillset -

- 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 candidate profile

- Knowledge Graphs
- MLOps
- Terraform
- CI/CD
- Data Engineering concepts

📌 GCP AI Architect (Bengaluru)
🏢 Capgemini
📍 Bengaluru