Senior AI & Data Platform Architecture
- Compensation
- Not disclosed
- Location
- Not listed
- Work setup
- Not specified
- Seniority
- Senior
- Employment
- Not specified
- Experience
- 10+ years
- Category
- Data engineering
- Posted
Skills
Must have
- 10+ years in data/AI architecture roles
- Strong hands-on expertise in Microsoft Fabric (Lakehouse, Data Engineering, Power BI)
- Experience with Azure AI Foundry, Azure OpenAI, and Cognitive Services
- Knowledge of LLM architecture, RAG, vector databases, prompt engineering
- Strong understanding of data modelling, ETL/ELT, and lakehouse patterns
- Experience integrating AI with APIs and enterprise applications
- Understanding of security, governance, and responsible AI
Nice to have
- Experience with Databricks or other lakehouse platforms
- Knowledge of Python, PySpark, ML frameworks
- Exposure to MLOps and CI/CD for AI workloads
- Experience in enterprise data modernization or analytics transformation programs
- Interview Focus Areas
- Fabric lakehouse architecture and governance
- Azure AI Foundry and LLM solution patterns (RAG, vector search)
- End-to-end AI solution architecture from data to consumption
- Security, scalability, and production readiness of AI platforms
- Real enterprise AI use cases implemented
Full description
At Globant, we are working to make the world a better place, one step at a time. We enhance business development and enterprise solutions to prepare them for a digital future. With a diverse and talented team present in more than 36 countries, we are strategic partners to leading global companies in their business process transformation.
We seek an Expert-Level_AI & Data Platform Architecture who shares our passion for innovation and change. This role is critical to helping our business partners evolve and adapt to consumers' personalized expectations in this new technological era.
Job Description – AI Architect (Microsoft Fabric + Azure AI Foundry)
Experience: 12- 16 Years
Key Responsibilities
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AI & Data Platform Architecture
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Define reference architecture using Microsoft Fabric (One lake, data factory, Lakehouse, Data Engineering, Data Science, Real-Time Analytics, Power BI)
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Architect AI solutions leveraging Azure AI Foundry, Azure OpenAI, Cognitive Services, and ML services
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Design lakehouse architecture, data models, medallion layers, and governance standards
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Establish patterns for data ingestion, transformation, feature engineering, and model consumption
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AI Solution Design & Implementation
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Design and productionize LLM, NLP, and ML use cases using Azure AI Foundry
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Implement RAG (Retrieval Augmented Generation), vector search, prompt orchestration, and AI pipelines
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Define model lifecycle, evaluation, monitoring, and responsible AI practices
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Integrate AI capabilities into enterprise applications via APIs and microservices
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Microsoft Fabric Implementation
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Lead Fabric workspace setup, security model, and data governance
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Implement pipelines using Data Factory in Fabric, Spark notebooks, and semantic models
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Optimize performance, partitioning, and storage strategies in OneLake
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Enable Power BI integration for AI/analytics consumption
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Governance, Security & Compliance
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Define enterprise standards for data security, PII handling, and access control