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Senior AI & Data Platform Architecture
Globant
IND
Senior · 12–16 years experience
Hybrid
Discovered 1 weeks ago
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Key Skills for This Role
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Full Job Posting
Key Responsibilities
- AI & Data Platform Architecture
- Define reference architecture using Microsoft Fabric (One lake, data factory, Lakehouse, Data Engineering, Data Science, Real-Time Analytics, Power BI)
- Architect AI solutions leveraging Azure AI Foundry, Azure OpenAI, Cognitive Services, and ML services
- Design lakehouse architecture, data models, medallion layers, and governance standards
- Establish patterns for data ingestion, transformation, feature engineering, and model consumption
- AI Solution Design & Implementation
- Design and productionize LLM, NLP, and ML use cases using Azure AI Foundry
- Implement RAG (Retrieval Augmented Generation), vector search, prompt orchestration, and AI pipelines
- Define model lifecycle, evaluation, monitoring, and responsible AI practices
- Integrate AI capabilities into enterprise applications via APIs and microservices
- Microsoft Fabric Implementation
- Lead Fabric workspace setup, security model, and data governance
- Implement pipelines using Data Factory in Fabric, Spark notebooks, and semantic models
- Optimize performance, partitioning, and storage strategies in OneLake
- Enable Power BI integration for AI/analytics consumption
- Governance, Security & Compliance
- Define enterprise standards for data security, PII handling, and access control
- Ensure compliance with enterprise and regulatory standards
- Implement monitoring, observability, and cost optimization strategies
- Stakeholder & Engineering Collaboration
- Work with business, data engineering, data science, and application teams
- Provide architectural guidance, code reviews, and best practices
- Lead PoCs, accelerators, and AI capability enablement across teams
Required Skills
- 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
- Good 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
- This job can be filled in location - Pune/Bangalore#LI-Hybrid
- Create with us digital products that people love. We will bring businesses and consumers together through AI technology and creativity, driving digital transformation to positively impact the world. At Globant, we believe in fostering a diverse and inclusive workplace where everyone feels valued and respected. We are an Equal Opportunity Employer committed to creating a thriving and inclusive environment for all employees and candidates, regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other legally protected characteristic. If you need any assistance or accommodations due to a disability, please let us know by applying through our Career Site or contacting your assigned recruiter. We may use AI and machine learning technologies in our recruitment process. Compensation is determined based on skills, qualifications, experience, and location. In addition to competitive salaries, we offer a comprehensive benefits package. Learn more about our commitment to diversity and inclusion and Globant’s Benefits.
Qualifications
- 12- 16 Years
- 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
- Good 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
- This job can be filled in location - Pune/Bangalore#LI-Hybrid
- Create with us digital products that people love. We will bring businesses and consumers together through AI technology and creativity, driving digital transformation to positively impact the world. At Globant, we believe in fostering a diverse and inclusive workplace where everyone feels valued and respected. We are an Equal Opportunity Employer committed to creating a thriving and inclusive environment for all employees and candidates, regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other legally protected characteristic. If you need any assistance or accommodations due to a disability, please let us know by applying through our Career Site or contacting your assigned recruiter. We may use AI and machine learning technologies in our recruitment process. Compensation is determined based on skills, qualifications, experience, and location. In addition to competitive salaries, we offer a comprehensive benefits package. Learn more about our commitment to diversity and inclusion and Globant’s Benefits.
- Key Responsibilities
- AI & Data Platform Architecture
- Define reference architecture using Microsoft Fabric (One lake, data factory, Lakehouse, Data Engineering, Data Science, Real-Time Analytics, Power BI)
- Architect AI solutions leveraging Azure AI Foundry, Azure OpenAI, Cognitive Services, and ML services
- Design lakehouse architecture, data models, medallion layers, and governance standards
- Establish patterns for data ingestion, transformation, feature engineering, and model consumption
- AI Solution Design & Implementation
- Design and productionize LLM, NLP, and ML use cases using Azure AI Foundry
- Implement RAG (Retrieval Augmented Generation), vector search, prompt orchestration, and AI pipelines
- Define model lifecycle, evaluation, monitoring, and responsible AI practices
- Integrate AI capabilities into enterprise applications via APIs and microservices
- Microsoft Fabric Implementation
- Lead Fabric workspace setup, security model, and data governance
- Implement pipelines using Data Factory in Fabric, Spark notebooks, and semantic models
- Optimize performance, partitioning, and storage strategies in OneLake
- Enable Power BI integration for AI/analytics consumption
- Governance, Security & Compliance
- Define enterprise standards for data security, PII handling, and access control
- Ensure compliance with enterprise and regulatory standards
- Implement monitoring, observability, and cost optimization strategies
- Stakeholder & Engineering Collaboration
- Work with business, data engineering, data science, and application teams
- Provide architectural guidance, code reviews, and best practices
- Lead PoCs, accelerators, and AI capability enablement across teams
About Globant
Technology10,001+Founded 2003
Globant is a digitally native technology services company that helps organizations transform through AI, cloud computing, and digital engineering solutions. Headquartered in Luxembourg, the company operates in over 35 countries with more than 30,000 employees.
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