The Job

Data & AI Consultant

Technology, Data & Digital · Data, AI & Analytics · Data Science · Data Engineering · Artificial Intelligence

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In short

Microsoft is looking for a Data & AI Consultant with 4-6 years of experience to join their Global Center for Innovation and Delivery. This hybrid role involves delivering end-to-end solutions, focusing on data and AI projects to ensure customer value and accelerate the adoption of Microsoft technologies.

Responsibilities

  • Execute assigned deliverables with accurate estimates and accommodate project changes.
  • Apply technical experience and industry knowledge to develop solutions aligned with customer business objectives.
  • Accelerate customer/partner engagement value by designing, developing, and deploying solutions on Microsoft technologies.
  • Contribute to the technical delivery quality within assigned engagements.
  • Define dependencies and risks, develop contingency plans, and manage technical escalations.
  • Drive adoption of cloud and Microsoft technologies, collaborating with sales and account teams.
  • Align with innovation and digital transformation initiatives, ensuring the use of existing intellectual property.
  • Implement technology strategy with support from senior peers.
  • Apply information-compliance and assurance policies.
  • Drive new ways of thinking to improve quality, engineering productivity, and responsiveness.
  • Continuously upskill through trainings and certifications on Azure Data and AI.

Requirements

  • 4-6 years of experience.
  • Bachelor's degree in computer science engineering or equivalent work experience.
  • Knowledge of solution design, planning, development, and deployment of complex solutions.
  • Hands-on experience in Data Engineering across cloud, on-prem, and hybrid environments.
  • Strong foundational experience with Azure Data Services and data platform modernization.
  • Hands-on exposure to Data Warehouse and analytics using platforms like Microsoft Fabric, and Azure Synapse Analytics.
  • 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, 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.
  • 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, and Azure cloud and AI stack like Azure Foundry, Azure OpenAI.
  • Hands-on 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.
  • Knowledge of secure coding practices, observability basics, and performance considerations.
  • Hands-on programming experience, preferably in Python.
  • Ability to work closely with senior consultants, architects, and customers to co-create innovative solutions.
  • 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.

Desired Qualifications

  • Higher relevant education is preferred.
  • 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).
  • Azure Databricks is a plus.
  • 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

  • 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.
#Consulting Services#Technology Consulting#Data#AI
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Company

Microsoft

Job Posted

2 weeks ago

Employment Type

Full Time

WorkMode

Hybrid

Experience Level

Mid-Senior

Qualification

Bachelor, Undergraduate

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