GenAI Architect

Key Skills:

• Open AI
• Cloud Infra
• Azure Security
• Gen AI
• LLM

JD:

Experience Level 8 Plus years (with at least 2 to 3 years in AI/ML/GenAI)

Key Responsibilities

• Design and implement GenAI architectures leveraging Microsoft Azure and Open AI models
• Lead solution architecture and integration of generative AI models into enterprise applications
• Collaborate with data scientists, engineers, and business stakeholders to define AI use cases and technical strategy
• Develop and optimize prompt engineering, model fine-tuning, and deployment pipelines
• Design scalable data storage and retrieval layers, using vector databases (e.g., Azure AI Search, Pinecone, or FAISS)
• Evaluate third-party GenAI APIs and tools for integration
• Ensure compliance with data security, privacy, and responsible AI guidelines
• Support performance tuning, monitoring, and optimization of AI solutions in production Stay updated with evolving trends in GenAI and Azure offerings, especially related to Open AI

Required Skills and Qualifications

• Proven experience architecting AI/ML or GenAI systems on Azure
• Hands-on experience with Open AI, Azure OpenAI, and related Azure AI tools
• Strong understanding of LLMs, prompt engineering, and text generation frameworks
• Proficiency in PL/SQL with advanced SQL and performance tuning
• Experience with MLOps, CI/CD pipelines, and AI model lifecycle management
• Solid knowledge of Python, APIs, RESTful services, and cloud-native architecture Familiarity with vector databases and semantic search concepts
• Strong communication and stakeholder management skills

Preferred Qualifications

• Azure Cloud certifications
• Experience in model fine-tuning and custom LLM training
• Knowledge of LangChain, RAG (Retrieval-Augmented Generation) frameworks
• Exposure to data privacy regulations (GDPR, HIPAA, etc.)
• Background in natural language processing (NLP) and deep learning