07 Nov
|
RADCUBE
|
Bengaluru
1. Design and lead enterprise-grade AI/GenAI solution architecture.
2. Solid hands-on experience with Python, LLMs, RAG, AI agents, and API integrations.
3. Experience with cloud AI platforms (AWS/Azure), vector databases, and scalable architectures.
4. Define technical standards, security, performance, and deployment strategies.
5. Guide AI developers and ensure end-to-end solution integration and delivery.
📌 AI Architect (Bengaluru)
🏢 RADCUBE
📍 Bengaluru