{"id":1836443,"url":"https://alion.io/job/microsoft-data-ai-consultant","title":"Data & AI Consultant","company":{"id":18,"name":"Microsoft","domain":"microsoft.com","url":"https://alion.io/company/microsoft","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Eightfold","truth_index":{"grade":"B","score":75,"open_postings":86,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-12T06:55:09Z"}},"role":"Data Science","role_family":"Data Science","seniority":"staff","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India","Mumbai, India","Noida, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":32000,"max_usd":63000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":13},"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"Azure DevOps","optional":false},{"name":"Azure SQL Database","optional":false},{"name":"Bicep","optional":false},{"name":"CI/CD","optional":false},{"name":"Copilot","optional":false},{"name":"Copilot Studio","optional":false},{"name":"Databricks","optional":false},{"name":"GCP","optional":false},{"name":"Machine Learning","optional":false},{"name":"Microsoft Entra ID","optional":false},{"name":"Microsoft Fabric","optional":false},{"name":"OpenAI","optional":false},{"name":"Power BI","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"SQL","optional":false},{"name":"Terraform","optional":false},{"name":"Vault","optional":false},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-07-31T10:48:32Z","employer_posted_date":"2026-09-29","last_verified_at":"2026-10-12T05:27:13Z","board_verified":true,"closed_at":null,"days_open":72,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":72},"description":"OverviewMicrosoft is on a mission to empower every person and every organization on the planet to achieve more. Our culture is centered on embracing a growth mindset, a theme of inspiring excellence, and encouraging teams and leaders to bring their best each day. In doing so, we create life-changing innovations that impact billions of lives around the world. You can help us to achieve our mission.\nIndustry Solutions helps Microsoft customers around the world get the best outcomes from their investments in the latest Microsoft cloud technologies. We focus on empowering customers on their digital journey, from envisioning new possibilities to delivering solutions that result in targeted business outcomes and a great customer experience.\nDo you have a passion for turning data into business value with AI? Are you interested in helping Microsoft customers design & deploy cutting-edge data and AI solutions on Microsoft Azure?\nAs a Data & AI Consultant you will be responsible for delivering high quality solutions and business outcomes based on the Microsoft data and AI platform. You will have the opportunity to help us create & deliver the next generation of data and AI solutions for our most strategic customers. Our Consulting team offers a collaborative culture where you can contribute your knowledge & experience while learning together as we create cutting-edge data and AI solutions for our customers.\nResponsibilities\nResponsibilities\nDemonstrate the ability to adapt to modern technologies and learn quickly.\nAbility to deliver results through teamwork while achieving individual billable attainment goals.\nAbility to focus on customers, proven ability to be client focused, create results, proactive, and collaborate with others.\nDemonstrate a passion for mentoring, supporting peers & sharing knowledge.\nConsume and contribute best practices, lessons learned, and intellectual property (IP) to the global Microsoft community with a focus on continuous improvement.\nFoster senior level client relationships and engage with senior level Microsoft and client stakeholders to drive solution success.\nDisplay strong time, project, and priority management skills.\nExpress excellent communication skills, presentation skills, written skills, customer/partner relationships and expectations management.\nQualifications\nQualifications and Experience:\nNeed to have a deep technical background with 10+ years of technology-related experience, including 4+ years delivering data and AI solutions on Microsoft Azure (Experience on AWS or GCP will be an added advantage). Require in depth expertise in the following functional areas.\nData Platform & Engineering:\nDesigning and implementing modern data platforms on Microsoft Fabric, Azure Databricks, Azure Synapse Analytics and Azure SQL.\n\nBuilding scalable batch and streaming data pipelines using Azure Data Factory, Event Hubs and Stream Analytics.\n\nLakehouse and medallion architecture, including Delta and Parquet formats.\n\nData modelling, query optimization and performance tuning.\n\nMigrating and modernizing legacy data warehouses and on-premises data estates to Azure.\n\nProficiency in SQL, Python and PySpark.\n\nKnowledge of Azure DevOps, CI/CD and Infrastructure-as-Code (ARM, Bicep or Terraform).\n\nAI & Machine Learning:\nDesigning and delivering generative AI solutions with Azure AI Foundry, Azure OpenAI and agentic patterns, including retrieval augmented generation (RAG), prompt engineering and orchestration frameworks.\n\nAzure Machine Learning for model development, deployment and MLOps.\n\nAzure AI Search, Document Intelligence and Cognitive Services.\n\nEvaluation, grounding and Responsible AI practices.\n\nCopilot and Copilot Studio extensibility.\n\nGovernance, Security & Analytics:\nData governance, lineage and cataloguing with Microsoft Purview.\n\nSecuring data and AI workloads using Microsoft Entra ID, private networking, Azure Key Vault, RBAC and encryption.\n\nPower BI semantic models and enterprise reporting.\n\nCost management and platform optimization.\n\nWe would also expect you to be able to pass the following Certifications in the first 12 months of employment with us, if you do not already hold them:\nDP-900: Microsoft Azure Data Fundamentals\n\nAI-900: Microsoft Azure AI Fundamentals\n\nDP-700: Microsoft Fabric Data Engineer Associate\n\nAI-102: Microsoft Azure AI Engineer Associate\n\nDP-600: Microsoft Fabric Analytics Engineer Associate\n\nThis position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.\nMicrosoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. 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