Azure AI Architect

Role & responsibilities

• 15+ years of IT experience with 5+ years of Azure experience.
• Hands-on experience with:
• Azure OpenAI Services
• Generative AI & Large Language Models (LLMs)
• Prompt Engineering
• Azure Cognitive Search / AI Search
• Azure Form Recognizer (Document Intelligence)
• Vector Databases
• Python
• PySpark
• Experience in AI model fine-tuning and customization.
• Strong understanding of AI/ML, data engineering, and large-scale data processing.
• Experience with cloud, on-premises, and hybrid architectures.
• Strong stakeholder management and customer-facing experience
• .
• Preferred Skills
• MLOps
• LLMOps
• Azure Machine Learning
• Databricks
• RAG (Retrieval-Augmented Generation)
• AI Governance and Responsible AI practices
• Mandatory Certification
• Microsoft Certified Azure Developer Associate (AZ-204)
• Good to Have Certifications
• Microsoft Certified Azure Solutions Architect Expert (AZ-303/AZ-304 or equivalent)
• AI-102 Microsoft Certified Azure AI Engineer Associate
• DP-100 Microsoft Certified Azure Data Scientist Associate
• Databricks Professional Certificate in Large Language Models
• Soft Skills
• Excellent communication and presentation skills.
• Strong customer relationship management skills.
• Excellent problem-solving and analytical abilities.
• Positive attitude with the ability to lead technical discussions and customer calls.
• Educational Qualification
• BCA / MCA / BE / B.Tech or equivalent (Mandatory)
• M.Tech / MS (Preferred)