AVP - Generative AI Solution Architect

Role Overview:

We are looking for a Solution Architect with deep expertise in Generative AI, LLMs, RAG, Agentic AI, and enterprise AI architectures. The role involves designing scalable AI solutions, defining architecture standards, and driving AI platform capabilities across the organization.

Key Responsibilities:

• Design and govern enterprisescale AI and GenAI architectures.
• Build reusable AI patterns, frameworks, and reference architectures.
• Lead model orchestration across LLMs, agents, and AI workflows.
• Architect RAG systems, vector databases, semantic search, and knowledge layers.
• Define standards for embeddings, chunking, indexing, retrieval, and AI governance.
• Design cloudnative AI solutions (AWS/Azure/GCP) and integration patterns.
• Partner with business, platform, cloud, and security teams for endtoend AI solutioning.

Required Skills:

• Strong expertise in Vector DBs (OpenSearch, Pinecone, Qdrant, Chroma, etc.), embeddings, hybrid/semantic search.
• Experience in RAG architecture, Agentic AI, and knowledge management systems.
• Handson experience in AI solution design, orchestration frameworks, and scalable AI systems.
• Strong understanding of enterprise data, integration patterns, and cloud-native AI services.

Candidate Requirements:

Experience: 9 to 12 yrs

Education: BE / MBA