Description

Design and implement end-to-end Generative AI solutions on Azure, ensuring optimal performance and adherence to the Well-Architected Framework.

This role is hybrid.

Responsibilities

• Architect and deploy GenAI applications using Azure services, including OpenAI, ADF, and AI Search.
• Design network architectures to support LLM-powered agents and ensure scalable performance.
• Translate business problems into technical requirements and guide stakeholders on adoption and security.
• Deliver technical briefings and deep-dive sessions to developers and executives.

Required Skills

• 8+ years in software development, cloud computing, or systems engineering.
• 5+ years designing Machine Learning, AI, or Deep Learning solutions.
• 5+ years professional software development in Python or Java.
• 3+ years in technical architecture, deployment, and operations for GenAI/LLM platforms.
• 1+ year hands-on experience with LLM architectures, fine-tuning, and adapters.
• Proficiency in LangChain, LlamaIndex, and orchestration approaches.
• Experience with model compression, distillation, quantization, and LLMOps.

Preferred Skills

• Experience with optimizing client workloads.

Key Skills

Education

Any Graduate