Senior Consultant Data, AI
Microsoft · Posted Oct 8
Software, cloud computing, artificial intelligence, and hardware services
India, Multiple Locations, Multiple LocationsFull-timeHybridSenior Level10+ years₹32.0L–₹50.0L yearly83 applicants
SoftwareCloud ComputingArtificial IntelligenceConsumer ElectronicsInformation TechnologyPublic Company
Full time
Get a personal compatibility score
Add a resume for personal matches
About the role
Microsoft Industry Solutions - Global Center for Innovation and Delivery Center (GCID) delivers end-to-end solutions that enable accelerated adoption and productive use of Microsoft technologies, with over 2000 people in consulting, solution development and delivery roles. As a Data & AI consultant, you will deliver quality engagements as a key contributor to high profile data and AI projects across Azure Data Services, data platform modernization, and AI/ML workloads. The role combines technical skills, leadership, creativity and customer focus to design, develop and deploy solutions on Microsoft technologies and methodologies.
What you will do
- Works as an Individual contributor and key member of the Data and AI team and helps in timely execution of assigned deliverables with accurate estimates, work priorities, and accommodates project changes and trade-offs necessary for a successful release.
- Applies technical experience and industry-specific knowledge to develop solutions, based on an analysis of how the proposed approach affects the business objectives of customers and partners.
- Works to accelerate the value proposition of customer/partner engagements by helping to design, develop, and deploy solutions on Microsoft technologies and methodologies.
- Contributes to the overall efficacy and quality of a project team's technical delivery within assigned engagements.
- Defines dependencies and risks that go beyond the immediate scope and timeframe for a complex project. Develops contingency plans, risk-mitigation implementation criteria, and alternative strategies to manage short- and long-term risks and manages technical escalations.
- Drives opportunities to expand or accelerate the adoption and consumption of cloud and Microsoft technologies. Collaborates, as appropriate, with peers and other teams (e.g., Sales, account-aligned team) to scale the business with existing high-stake or strategic customers, by articulating/developing value propositions of strategic Microsoft products and services.
- Align with innovation and digital transformation initiatives. Ensures the use of existing intellectual property (IP) and delivers value to customers.
- Responsible for implementing the technology strategy with support from Senior peers
- Applies information-compliance and assurance policies to ensure stakeholder confidence.
- Drives new ways of thinking, across the division and subsidiary, to improve quality, engineering productivity, and responsiveness to feedback and changing priorities.
- Consistently upskills through regular trainings and certifications on Azure Data and AI to be able to contribute to the future needs of the organization and customers
Skills used in this role
PythonSQLNoSQLMicrosoft AzureMicrosoft FabricAzure Synapse AnalyticsAzure DatabricksAzure Data FactorySSISTalendInformaticaApache AirflowApache SparkApache KafkaHadoopMLOpsLLMsAzure OpenAINLPComputer VisionRAGPyTorchTensorFlowLangChainAzure DevOps
What the employer is looking for
- 10+ years of experience
- Bachelor's degree in computer science engineering or equivalent work experience. Higher relevant education is preferred.
- Knowledge of solution design, planning, development and deployment of complex solutions
- One or more of the following certifications, or an equivalent industry certification is a plus: Microsoft Certified: Azure Data Engineer Associate (DP-600) / Microsoft Certified: Azure AI Engineer Associate (AI102) / Microsoft Certified: Azure Solution Architect Expert (AZ-305)
- Hands-on experience in Data Engineering across cloud, on-prem, and hybrid environments
- Strong foundational experience with Azure Data Services and data platform modernization initiatives
- Handson exposure to Data Warehouse and analytics using platforms like Microsoft Fabric, and Azure Synapse Analytics; Azure Databricks is a plus
- Experience/knowledge of one or more SQL and NoSQL database systems
- Hands-on experience building AI-powered data pipelines using ETL/ELT tools like:
- Azure Data Factory (ADF), SSIS, Talend, Informatica, Airflow
- Exposure to data migrations, platform upgrades, and modernization efforts
- Understanding of multitenant data platform designs, basic security hardening, and access control concepts
- Knowledge of Big Data ecosystems like Spark, Databricks, Kafka, Hadoop, etc.
- Experience building or supporting ML ready datasets and basic feature engineering
- Exposure to operationalizing ML pipelines and MLOps concepts, on Azure stack
- Foundational knowledge of:
- Large Language Models (LLMs)
- Model training, evaluation, and deployment workflows
- Azure cloud and AI stack like Azure Foundry, Azure OpenAI, etc
- Handson experience or knowledge in one or more of:
- NLP, Document Intelligence & Indexing
- Computer Vision
- RAG frameworks or AI Search
- Basic understanding of Prompt Engineering
- Exposure to or knowledge of deep learning/Gen AI frameworks such as TensorFlow/PyTorch, and orchestration frameworks like LangChain/LangGraph
- Familiarity with Responsible AI principles – fairness, interpretability, and governance
- Experience working in Agile teams with knowledge of/exposure to Azure DevOps
- Understanding of DataOps and MLOps practices, automated testing, CI/CD pipelines, and deployment workflows, preferably on Azure Foundry
- Knowledge of secure coding practices, observability basics, and performance considerations
- Handson programming experience, preferably in Python
- Ability to work closely with senior consultants, architects, and customers to co-create innovative solutions with customers to help solve their business challenges
- Strong communication skills to explain technical concepts to business stakeholders
- Comfortable working in ambiguous environments, learning quickly, and adapting to change
- Eagerness to build engineering excellence, reusable components, and best practices
- Strong interest in continuous learning and technical certifications
- Curiosity to explore emerging data and AI technologies
- Willingness to receive feedback, grow technical depth, and expand ownership over time
Preferred qualifications
- Good understanding of core data architecture patterns:
- Dimensional modeling
- Lambda and Kappa architectures
- Timeseries data processing
- Familiarity with Azure Stream Analytics and Azure Analysis Services
- Awareness of data governance concepts and tools (opensource or proprietary)
Benefits and support
- Compensation and benefits are detailed in the job posting
About Microsoft
Microsoft Corporation is a multinational technology company that develops, licenses, and supports a wide range of software products, services, and hardware devices. Best known for its Windows operating systems, Microsoft 365 productivity suite, and Xbox gaming consoles, the company has expanded heavily into enterprise cloud computing via Azure and advanced artificial intelligence solutions. As one of the world's most valuable public enterprises, it empowers individuals and businesses globally through innovative digital transformation.
- Industry
- Software
- Company size
- 228,000+ employees
- Founded
- April 4, 1975
- Location
- Redmond, Washington, USA
- Funding stage
- Public Company
Leadership
SN
Satya Nadella
Chairman and Chief Executive Officer
AH
Amy Hood
Chief Financial Officer
BS
Brad Smith
Vice Chair and President
Recent coverage
Windows Central
Microsoft Announces Windows 11 Version 26H2 and Previews Next-Gen AI Features2026-10-04
Barchart
Wells Fargo Adds Microsoft to Q4 Tactical Ideas List With Street-High Target2026-10-06
The Official Microsoft Blog
Microsoft 365 and LinkedIn Leadership Update Issued by Satya Nadella2026-10-01