AI Infrastructure Architect (GenAI)

We are looking for an AI Infrastructure Architect / GenAI Engineer with hands-on experience in generative AI, LLMs, and AI architecture. The role involves designing, developing, integrating, testing, and deploying enterprise-grade GenAI and agentic AI solutions.
Responsibilities:
Design and deploy GenAI/LLM applications and AI solutions.
Develop prompt engineering, fine-tuning, and model optimization strategies.
Build scalable data, training, and inference pipelines.
Optimize LLM performance using quantization and inference optimization techniques.
Integrate AI models and agentic AI components into enterprise applications.
Work with data scientists, engineers, and product teams to deliver AI solutions.
Support AI infrastructure architecture, scalability, cost, and performance optimization.
Document architecture, technical specifications, and implementation best practices.
Requirements:
Experience: 5+ Years.
Education: 15 Years Full-Time Education.
Must Have: Generative AI / LLM.
Good to Have: AWS.
Key Skills: Generative AI, LLM, Foundation Models, Prompt Engineering, Fine-Tuning, AI/ML, Model Inference, Quantization, Agentic AI, AI Architecture, and AWS.

Experience
5-7 yrs