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