GCP AI Architect

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