ROLES & RESPONSIBILITIES

- Define and drive the organisation's AI strategy, roadmap and use-case portfolio in line with business goals.
- Lead the design, development and deployment of AI/ML and Generative AI solutions on Microsoft Azure.
- Build and manage AI applications and agents using Azure AI Foundry, Azure OpenAI and Azure Machine Learning.
- Oversee data pipelines and MLOps practices to ensure scalable, secure and reliable AI delivery.
- Ensure Responsible AI, data governance, security and regulatory compliance across all AI initiatives.
- Lead, mentor and manage AI engineers, data scientists and project teams.
- Collaborate with business, IT and HR stakeholders to identify AI opportunities and track delivery.
- Monitor model performance, cost and business impact; report progress to senior management.

REQUIRED SKILLS

Technical

- Strong hands-on experience with Azure AI services: Azure AI Foundry,



Azure OpenAI, Azure Machine Learning, Azure AI Search.
- Proficiency in Python, machine learning, LLMs, prompt engineering and RAG architectures.
- Working knowledge of Azure data services (Data Factory, Synapse, Azure SQL, Databricks) and MLOps/CI-CD.

Managerial

- Proven experience in leading teams and managing AI projects end to end.
- Robust stakeholder management, communication and problem-solving skills.

Certifications (Preferred)

- Microsoft Certified: Azure AI Engineer Associate (AI-102).
- Microsoft Azure AI Foundry Certification.
- Microsoft Certified: Azure AI Fundamentals (AI-900) or Azure Data Scientist Associate (DP-100) is an added advantage.
- WFO - 5 Days

📌 Solution Architect / AI Manager | GeakMinds | Chennai
🏢 Geak Minds
📍 Chennai