Senior Consultant A2, Data & AI, Microsoft

March 30, 2026

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Job Description

Microsoft is seeking a Senior Consultant A2 Data & AI in Hyderabad. The position requires professionals to design and build cloud-based data platforms which utilize artificial intelligence for their data management needs while overseeing complicated client projects and validating that their solutions meet security requirements and scalability goals and maintain quality standards. The position requires advanced knowledge of Azure and AI/ML solutions and enterprise data architecture. The work arrangement is hybrid with full-time requirements.

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Main Duties

  • Create advanced solutions that combine cloud technologies with AI capabilities to meet business needs.
  • Define business goals while following best practices and architectural standards.
  • Build and deploy solutions using Microsoft Azure platform and services.
  • Identify project risks and dependencies, and develop strategies for handling large-scale projects.
  • Collaborate with departments to encourage the adoption of Microsoft technologies across the organization.
  • Apply AI-first data engineering principles and rapid prototyping to develop production-ready AI/ML solutions while ensuring quality, security, and performance.

Essential Qualifications:

  • Bachelor’s degree in Computer Science Engineering or any related discipline. 
  • Ten years experience in either data engineering or cloud architecture or AI solution development. 
  • At least five years of experience in leading customer-facing project delivery roles. 
  • Knowledge of Azure Data Services and Microsoft Fabric and Azure Synapse and comparable technologies. 
  • Practical knowledge of Python together with AI/ML frameworks that include TensorFlow and PyTorch. 

Preferred Qualifications:

  • Azure Solution Architect Expert AZ-305 and Azure AI 
  • Engineer AI-102 and Fabric Analytics Engineer DP-600 certification.
  • Experience working with Azure Databricks and contemporary data platforms. 
  • Knowledge about MLOps and AI orchestration frameworks and Generative AI solutions. 
  • Extensive leadership abilities and mentoring skills and advanced technical expertise.