AI Architect

Required Skills

" Strong enterprise solution architecture experience with significant exposure to AI/ML and GenAI.

" Hands-on understanding of LLMs, SLMs, RAG, embeddings, vector databases, AI agents, prompt engineering, and model evaluation.

" Experience with cloud AI platforms such as Azure AI, AWS, or Google Cloud.

" Understanding of commercial and open-source AI models.

" Strong knowledge of APIs, microservices, containers, cloud architecture, security, and enterprise integration.

" Ability to evaluate architectural trade-offs across quality, performance, risk, scalability, and cost.