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 life cycle 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