Capgemini
Choose a partner with intimate knowledge of your industry and first-hand experience of defining its future.Select your locationSelect your locationIndustriesChoose a partner with intimate knowledge of your industry and first-hand experience of defining its future.Atlanta, GA# GenAI Azure Architect## **Job Description****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 (e.g., LLMs, RAG) and non-generative AI (e.g., predictive analytics, 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 across AI and data workloads.
• Apply Well-Architected Framework principles to ensure reliability, scalability, and cost-efficiency.
Collaboration & Leadership
• 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 GenAIOps, 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.## **Life at Capgemini**Capgemini supports all aspects of your well-being throughout the changing stages of your life and career. For eligible employees, we offer:
Flexible work
Healthcare including dental, vision, mental health, and well-being programs
Financial well-being programs such as 401(k) and Employee Share Ownership Plan
Paid time off and paid holidays
Paid parental leave
Family building benefits like adoption assistance, surrogacy, and cryopreservation
Social well-being benefits like subsidized back-up child/elder care and tutoring
Mentoring, coaching and learning programs
Employee Resource Groups
Disaster ReliefCapgemini is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodations do not pose an undue hardship.Capgemini is committed to providing reasonable accommodations during our recruitment process. If you need assistance or accommodation, please get in touch with your recruiting contact.Click the following link for more information on your rights as an ApplicantLocationAtlanta, GA #J-18808-Ljbffr
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 (e.g., LLMs, RAG) and non-generative AI (e.g., predictive analytics, 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 across AI and data workloads.
• Apply Well-Architected Framework principles to ensure reliability, scalability, and cost-efficiency.
Collaboration & Leadership
• 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 GenAIOps, 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.## **Life at Capgemini**Capgemini supports all aspects of your well-being throughout the changing stages of your life and career. For eligible employees, we offer:
Flexible work
Healthcare including dental, vision, mental health, and well-being programs
Financial well-being programs such as 401(k) and Employee Share Ownership Plan
Paid time off and paid holidays
Paid parental leave
Family building benefits like adoption assistance, surrogacy, and cryopreservation
Social well-being benefits like subsidized back-up child/elder care and tutoring
Mentoring, coaching and learning programs
Employee Resource Groups
Disaster ReliefCapgemini is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodations do not pose an undue hardship.Capgemini is committed to providing reasonable accommodations during our recruitment process. If you need assistance or accommodation, please get in touch with your recruiting contact.Click the following link for more information on your rights as an ApplicantLocationAtlanta, GA #J-18808-Ljbffr