Senior Architect – GCP , GenAI & Agentic AI

Looking for an experienced Senior Architect to lead the design, architecture, governance, and delivery of enterprise-scale AI/ML and Generative AI solutions. The role requires deep expertise in LLMs, Agentic AI, NLP, RAG architectures, MLOps, and cloud-native AI platforms on Google Cloud Platform (GCP).

The architect will be responsible for defining AI solution strategies, driving technical direction, establishing architecture standards, and ensuring secure, scalable, and production-ready AI systems that deliver measurable business outcomes.

The ideal candidate should possess a blend of technical leadership, solution architecture, stakeholder management, and hands-on expertise in modern AI ecosystems Mandatory Skills AI / ML Machine Learning lifecycle management Deep Learning concepts Model evaluation frameworks Experiment design and A/B testing NLP and text analytics Generative AI Large Language Models (LLMs) Prompt Engineering RAG architectures Vector databases AI Agents and Multi-Agent Systems Copilot and Conversational AI development Cloud & GCP Vertex AI BigQuery Cloud Storage Dataflow Cloud Functions Cloud Run GKE Pub/Sub IAM and Security Controls MLOps / LLMOps CI/CD for ML Model Registry Version Control Automated Evaluation Model Deployment Monitoring & Observability Drift Detection Rollback Frameworks Architecture Enterprise Architecture Solution Architecture Microservices API-driven Integration Distributed Systems Event-driven Architecture Required Experience 14+ years of overall IT experience. 5+ years in AI/ML solution architecture. 3+ years in Generative AI and LLM-based solution delivery.

Proven experience delivering production-grade AI applications on cloud platforms. Experience designing enterprise RAG and Agentic AI solutions. Strong experience architecting secure and scalable AI platforms.

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