Description

Key Responsibilities:

• Design end-to-end architectures for generative AI applications such as chatbots, copilots, and content generation systems. 
• Evaluate and select appropriate models (e.g., GPT, open-source LLMs, multimodal models) based on business and technical requirements. 
• Develop and optimize prompt engineering strategies and Retrieval-Augmented Generation (RAG) pipelines. 
• Build scalable, secure, and cost-efficient AI solutions across cloud platforms including AWS, Azure, and GCP. 
• Integrate GenAI solutions with enterprise systems, APIs, and existing data pipelines. 
• Ensure adherence to responsible AI principles, including fairness, explainability, security, and regulatory compliance. 
• Lead model fine-tuning, evaluation, and performance optimization initiatives. 
• Collaborate closely with data scientists, engineers, and product teams to translate business requirements into effective AI solutions

Key Skills

Education

Any Gradute