Capgemini
3 days ago Be among the first 25 applicants
Key Responsibilities
Architecture Strategy - Design and modernize data architectures for Azure AI Foundry aligning with enterprise AI and analytics strategies.
Develop scalable solutions using Azure PaaS services such as Azure Data Factory, Synapse Analytics, Azure Data Lake, Cosmos DB and Azure Machine Learning.
Architect AI workloads using reference models for generative AI (LLMs, RAG) and non‑generative AI such as predictive analytics and classification.
Implementation & Integration – Lead end‑to‑end data platform modernization efforts, including migration, transformation and optimization.
Integrate AI services such as Azure OpenAI, Cognitive Services and Azure AI Studio into data pipelines and applications.
Ensure seamless data flow across structured and unstructured sources using ETL/ELT pipelines.
Governance & Security – Implement data governance lineage and cataloging using Purview and other Azure native tools; enforce security, compliance and privacy standards; apply Well‑Architected Framework principles to ensure reliability, scalability and cost efficiency.
Collaborate with data scientists, ML engineers and business stakeholders to translate business needs into technical solutions.
Mentor junior architects and engineers fostering a culture of innovation and excellence; act as a technical advisor in architectural design sessions and customer engagements.
Skills and Qualifications
12 years of experience in data architecture, cloud platforms, and enterprise data solutions.
Deep expertise in Azure data services: Azure SQL, Synapse, Data Factory, Data Lake, Cosmos DB.
Experience with AI/ML platforms: Azure Machine Learning, Azure OpenAI, Databricks, PyTorch, scikit‑learn.
Strong understanding of AI architecture patterns including Gen‑AI Ops, MLOps and RAG.
Proficiency in data modeling, data warehousing, and real‑time analytics.
Familiarity with data governance tools and frameworks.
Excellent communication and stakeholder management skills.
Seniority level Mid‑Senior level
Employment type Full‑time
Job function Information Technology
Industries IT Services and IT Consulting
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Key Responsibilities
Architecture Strategy - Design and modernize data architectures for Azure AI Foundry aligning with enterprise AI and analytics strategies.
Develop scalable solutions using Azure PaaS services such as Azure Data Factory, Synapse Analytics, Azure Data Lake, Cosmos DB and Azure Machine Learning.
Architect AI workloads using reference models for generative AI (LLMs, RAG) and non‑generative AI such as predictive analytics and classification.
Implementation & Integration – Lead end‑to‑end data platform modernization efforts, including migration, transformation and optimization.
Integrate AI services such as Azure OpenAI, Cognitive Services and Azure AI Studio into data pipelines and applications.
Ensure seamless data flow across structured and unstructured sources using ETL/ELT pipelines.
Governance & Security – Implement data governance lineage and cataloging using Purview and other Azure native tools; enforce security, compliance and privacy standards; apply Well‑Architected Framework principles to ensure reliability, scalability and cost efficiency.
Collaborate with data scientists, ML engineers and business stakeholders to translate business needs into technical solutions.
Mentor junior architects and engineers fostering a culture of innovation and excellence; act as a technical advisor in architectural design sessions and customer engagements.
Skills and Qualifications
12 years of experience in data architecture, cloud platforms, and enterprise data solutions.
Deep expertise in Azure data services: Azure SQL, Synapse, Data Factory, Data Lake, Cosmos DB.
Experience with AI/ML platforms: Azure Machine Learning, Azure OpenAI, Databricks, PyTorch, scikit‑learn.
Strong understanding of AI architecture patterns including Gen‑AI Ops, MLOps and RAG.
Proficiency in data modeling, data warehousing, and real‑time analytics.
Familiarity with data governance tools and frameworks.
Excellent communication and stakeholder management skills.
Seniority level Mid‑Senior level
Employment type Full‑time
Job function Information Technology
Industries IT Services and IT Consulting
#J-18808-Ljbffr