Generative AI Solutions Architect

About the Role

We are seeking a highly skilled and experienced Generative AI Solutions Architect to design and implement cutting-edge generative AI solutions using large language models (LLMs). This role involves applying prompt engineering techniques, building scalable Retrieval-Augmented Generation (RAG) systems, and optimizing models for performance, cost, and reliability. The ideal candidate will leverage AWS services and develop robust backend components for production-grade AI applications, while ensuring observability, performance monitoring, and security best practices.

Responsibilities

• Design and implement generative AI solutions using large language models (LLMs).
• Apply prompt engineering techniques and build scalable Retrieval-Augmented Generation (RAG) systems.
• Fine-tune and optimize models for performance, cost, and reliability.
• Leverage AWS services such as Bedrock, SageMaker, and Lambda for deployment and inference.
• Develop APIs and backend components for production-grade AI applications.
• Implement observability, performance monitoring, and security best practices.
• Drive responsible AI adoption through evaluation, bias detection, and compliance.