AI Architect

AI Architect

Experience: 10+ years overall | 5+ years in AI System Design
Qualification: Bachelor’s/Master’s in Computer Science, Engineering, Data Science or equivalent experience.

• Design and lead end-to-end AI/GenAI architecture for eLearning and enterprise solutions.

• Build solutions using LLMs, RAG and Agentic AI.

• Design AI solutions for content generation and multimodal experiences.

• Define cloud architecture across Azure, AWS or GCP.

• Establish MLOps/DevOps, security, governance and Responsible AI practices.

• Integrate AI solutions with enterprise platforms using APIs and microservices.

• Collaborate with business, product and engineering teams to deliver scalable AI solutions.

• Generative AI / LLMs

• RAG & Agentic AI

• LangChain / Semantic Kernel

• Python & REST APIs

• Vector Databases – Pinecone, Weaviate, pgvector

• Azure / AWS / GCP

• Docker, Kubernetes & CI/CD

• MLOps & AI Security

• PostgreSQL / Relational Databases

A hands-on AI Architect with strong experience in LLMs, RAG, Agentic AI, cloud architecture, Python and enterprise AI solutions, with experience taking AI systems into production.