Description

Key Responsibilities

• Design end-to-end Generative AI architectures using LLMs and AI platforms
• Define solution patterns for prompt engineering, RAG (Retrieval-Augmented Generation), and fine-tuning
• Collaborate with business, data, and engineering teams to identify GenAI use cases
• Select and integrate GenAI tools, frameworks, and APIs
• Ensure AI solutions meet security, privacy, and compliance standards
• Guide development teams on GenAI best practices and architecture standards
• Monitor performance, cost, and scalability of GenAI solutions
• Document architecture designs, standards, and technical guidelines

Required Skills

• Strong understanding of Generative AI and Large Language Models (LLMs)
• Experience with prompt engineering, embeddings, and RAG architectures
• Proficiency in Python and AI/ML frameworks
• Experience integrating AI models via APIs
• Knowledge of cloud platforms (AWS / Azure / GCP)
• Understanding of data pipelines and vector databases
• Strong problem-solving and communication skills

Key Skills

Education

Any Graduate