01Overview
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 Professional Machine Learning Engineer .
