Description

You will define and implement scalable, secure AI architecture for enterprise applications, focusing on Generative AI and Large Language Models.

This role is on-site.

Responsibilities

• Architect AI-powered platforms and frameworks that integrate seamlessly with existing enterprise systems.
• Execute training, fine-tuning, and deployment of LLMs and ML models for production use.
• Optimize model performance using prompt engineering and retrieval-augmented generation (RAG).
• Design and deploy cloud-native solutions on Azure AI, AWS SageMaker, or Google Vertex AI.
• Implement AI governance frameworks ensuring data privacy compliance (GDPR, CCPA) and security.

Required Skills

• 10+ years of experience with strong hands-on expertise in LLMs, ML frameworks, and deep learning.
• Proficiency in Python, TensorFlow, and cloud AI services (Azure, AWS).
• Experience with MLOps, Docker containerization, and Kubernetes for scalable deployments.
• Strong understanding of Generative AI applications and enterprise software architectures.
• Knowledge of microservices, REST APIs, and event-driven architectures.

Preferred Skills

• Experience with PyTorch, Hugging Face, vector databases (FAISS, Pinecone), and Java/Go.
• Background in data engineering, streaming analytics, and knowledge distillation.

Key Skills

Education

Any Graduate