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Senior Consultant - Data & AI

Microsoft · India, Telangana, Hyderabad; India, Karnataka, Bangalore; India, Uttar Pradesh, Noida

Microsoft is a global leader in software, services, and technology infrastructure. As a Senior Consultant in the Data and AI division, the role involves providing high-level technical expertise to clients, helping them design and implement complex data architectures and artificial intelligence solutions. Day-to-day responsibilities likely include advising organizations on cloud-based data strategies, deploying machine learning models, and ensuring the effective integration of AI capabilities within existing business frameworks. The role requires a deep understanding of data engineering, analytics, and modern AI development practices. This position is well-suited for experienced professionals with a strong background in technology consulting who possess the ability to bridge the gap between technical implementation and business objectives. Candidates should be comfortable working in a client-facing environment, managing technical projects, and providing strategic guidance to help enterprises leverage data-driven insights to solve operational challenges. Proficiency in cloud platforms and advanced data analytics is essential for success in this advisory capacity.

data engineeringartificial intelligencetechnology consultingcloud solutionsmachine learningdata architecturesenior consultantenterprise software

Technology Consulting

RoleSenior Consultant - Data & AI
CompanyMicrosoft
LocationIndia, Telangana, Hyderabad; India, Karnataka, Bangalore; India, Uttar Pradesh, Noida
Typefull-time
CompensationNot disclosed
Posted2026-10-01
DeadlineRolling

Typical process for this type of role

A general guide — the exact steps for this specific listing may vary; check the original posting for details.

  1. 1ApplicationSubmit your resume through the apply link.
  2. 2ScreeningRecruiter reviews your background against the role.
  3. 3AssessmentA technical test, assignment, or coding round, depending on the role.
  4. 4Interview(s)One or more rounds with the hiring team.
  5. 5OfferOffer letter with compensation and start date.

Before you apply

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