AI Architect - Machine Learning/RAG

Job Description : - Design and implement enterprise AI/ML and Generative AI solutions. - Architect RAG, LLM, Agentic AI, and conversational AI applications. - Build scalable AI pipelines and production-ready MLOps solutions. - Integrate AI solutions with enterprise applications and APIs. - Lead AI solution design, technical reviews, and stakeholder discussions. - Ensure AI governance, security, compliance, and model monitoring. Required Skills : - Python, SQL - Generative AI, LLMs, RAG, Prompt Engineering - Agentic AI, NLP, Machine Learning, Deep Learning - PyTorch, TensorFlow, Scikit-learn, Hugging Face - Azure OpenAI / Azure AI Services (GCP Vertex AI is a plus) - REST APIs, MLOps, Model Deployment & Monitoring - Strong solution architecture and stakeholder management skills Preferred : - Experience with enterprise AI implementations. - Exposure to AI governance, model optimization, and cloud-native AI platforms. - Excellent communication and leadership skills. Education : - UG : B.Tech / B.E. in Any Specialization Key Skills : - Ai Solutions, Ai Platform, Technical Architecture, Architecture, Architectural Design .