AI Solution Architect II

About the role

As an AI Architect, you will guide the strategy and delivery for interoperable, compliant, and economically viable modern AI solutions. You will architectures across a Hybrid AI landscape, blending Frontier Models (Azure OpenAI/Gemini) with Cost-Efficient Small Language Models (SLMs) and Edge Inference.

What you'll do

• What you’ll do Multi-Agent Architecture Patterns: Define and govern reference architecture for multi-agent systems, covering hierarchical, peer-to-peer
• Guide teams on pattern selection based on client use cases
• Ensure coherent retrieval strategies across layers
• Retrieval-Augmented Generation (RAG) and CAG (Cache Augmented) Architecture: Define architectural patterns for end-to-end RAG pipelines, including chunking, embedding
• Ensure designs include standards for lineage, observability, and evaluation (e.g., RAGAS)

What you need

• 8–10 yrs of experience
• AWS
• GCP
• LLMs
• Azure
• System design
• IPR
• Any graduate

Good to have

• Prototyping
• Salesforce
• Kubernetes
• CI/CD
• Terraform