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.

Key Responsibilities

• 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.

Must-Have Skills

• 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

Ideal Candidate

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.

Contact me on - 9175896080