Description

You will design and implement generative AI architectures leveraging Microsoft Azure and OpenAI models.

Responsibilities

• Lead solution architecture and the integration of generative AI models into enterprise applications.
• Develop and optimize prompt engineering, model fine-tuning, and deployment pipelines.
• Design scalable data storage and retrieval layers using vector databases like Azure AI Search, Pinecone, or FAISS.
• Ensure compliance with data security, privacy, and responsible AI guidelines.
• Support performance tuning, monitoring, and optimization of AI solutions in production.

Required Skills

• 10+ years of experience, including 2 to 3 years specifically in AI, ML, or GenAI.
• Proven experience architecting AI/ML or GenAI systems on Azure.
• Hands-on experience with OpenAI, Azure OpenAI, and related Azure AI tools.
• Strong understanding of LLMs, prompt engineering, and text generation frameworks.
• Proficiency in Python, APIs, RESTful services, and cloud-native architecture.
• Proficiency in PL/SQL with advanced SQL and performance tuning.
• Experience with MLOps, CI/CD pipelines, and AI model lifecycle management.
• Familiarity with vector databases and semantic search concepts.
• Knowledge of cloud infrastructure and Azure security.

Preferred Skills

• Knowledge of LangChain, RAG frameworks, and custom LLM training.
• Azure Cloud certifications and background in NLP or deep learning.
• Exposure to data privacy regulations such as GDPR or HIPAA.

Key Skills

Education

Any Graduate