Job Description

JD for Tech Lead - Azure AI:

About the Role

We are seeking a highly skilled Tech Lead Azure AI with expertise in Retrieval-Augmented Generation (RAG), OpenAI, Azure AI Search, and other AI-driven technologies to spearhead the development of Generative AI (Gen AI)-powered solutions. In this role, you will lead the design, development, and deployment of intelligent applications leveraging Azure AI services and Large Language Models (LLMs) to enhance information retrieval, processing, and decision-making capabilities. You will work closely with cross-functional teams, ensuring seamless integration of AI technologies into business operations and applications.

Key Responsibilities
Lead the architecture, design, and implementation of AI-driven solutions using Azure AI services, OpenAI, and RAG techniques. - Develop and optimize LLM-based applications, enhancing information retrieval and natural language understanding. - Implement Azure AI Search for efficient data indexing and retrieval in AI-powered applications. - Build and maintain scalable, high-performance AI models that support business intelligence and automation. - Collaborate with data engineers, software developers, and business stakeholders to integrate AI solutions into existing workflows and applications. - Ensure AI models and solutions adhere to best practices for security, scalability, and compliance. - Stay updated on advancements in AI, machine learning, and cloud technologies to drive continuous innovation. - Troubleshoot and resolve performance bottlenecks, model drift, and AI system failures.

Required Skills & Experience
8+ years of experience in software development, AI/ML, and cloud-based AI solutions. - Strong expertise in Azure AI services, including Azure OpenAI, Azure AI Search, Cognitive Services, and Machine Learning. - Hands-on experience with Retrieval-Augmented Generation (RAG), knowledge graphs, and NLP techniques. Hands-on experience with Qdrant and Azure AI Search. Experience on using and deploying Huggingface Models. Proficiency in Python, C#, or Java for AI model development and deployment. - Experience with vector databases, embeddings, and semantic search implementations. - Familiarity with DevOps, CI/CD pipelines, and MLOps for AI solution deployment. - Strong problem-solving skills with the ability to debug and optimize AI models. - Excellent communication skills to effectively collaborate with technical and non-technical stakeholders.

Nice-to-Have Skills
Experience in fine-tuning and optimizing LLMs for enterprise applications.
Knowledge of Azure Kubernetes Service (AKS) and containerized AI deployments. Understanding of AI ethics, bias mitigation, and responsible AI principles.