Senior Architect – GCP , GenAI & Agentic Systems

Job Description

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.