AI Solution Architect

About This Role

Lead the design and implementation of AI solutions, leveraging Azure cloud architecture, generative models, and advanced AI/data processing techniques. Guide teams, manage stakeholder relationships, and contribute to upskilling initiatives for customers.

Responsibilities

• Architect, design, and implement solutions on-premises, in the cloud, and using hybrid models
• Deploy a variety of generative models
• Finetune and customize pretrained AI models
• Apply understanding of various patterns and practices in AI data engineering and large data processing
• Utilize Prompt Engineering, Azure Open AI, Form Recognizer, Cognitive Search, and Vector Databases
• Develop and deliver upskilling sessions to customers
• Manage various stakeholder relationships to gain consensus on complex technical solutions

Requirements

• 15 years of IT experience
• 5+ years of hands-on experience on Azure (technically guided, managed, and governed teams)
• Strong communication skills
• Experience in architecting, designing, and implementing solutions (on-premises, cloud, hybrid)
• Hands-on experience in deploying a variety of generative models
• In-depth experience in finetuning and customizing pretrained AI models
• Good understanding of various patterns and practices in AI data engineering and large data processing
• Hands-on in Prompt Engineering, Azure Open AI, Form Recognizer, Cognitive Search, Vector Databases
• Proficiency in Python and PySpark
• Azure Cognitive Services
• Azure Cloud Architecture

Qualifications

• Minimum B.C.A., M.C.A., B.E., B.Tech or equivalent
• 15 years of IT experience with a minimum of 5 years on Azure, guiding, managing and governing teams

Nice to Have

• MLOps and LLMOps
• M.Tech or M.S. degree
• Microsoft Certified Azure Solutions Architect Expert

Skills

* Required skills

Certifications