# Cloud, Data Science & AI Architect Source: https://realanalystjobs.com/job/cloud-data-science-and-ai-architect-capgemini-289c4d58 Cloud, Data Science & AI Architect at Capgemini, an on-site role based in Bengaluru, India. First seen on RealAnalystJobs on 15 November 2026, read from Capgemini's own careers page (Capgemini), which RealAnalystJobs re-checks daily and removes the role when it closes. Updated 15 November 2026. ## Key facts - Company: [Capgemini](https://realanalystjobs.com/companies/capgemini) - Location: Bengaluru, India - Work mode: On-site - First seen: Nov 15, 2026 - Employment type: Full time - Source: Capgemini's careers page (Capgemini), re-checked daily Skills: [SQL](https://realanalystjobs.com/skills/sql), [Python](https://realanalystjobs.com/skills/python), Snowflake, BigQuery, AWS, Azure, Spark ## Visa sponsorship The posting does not say. Capgemini had H-1B petitions approved for 2,110 workers in fiscal year 2026 (USCIS). That is history, not a promise for this role. [See the record](https://realanalystjobs.com/companies/capgemini#h1b-record) ## About this role Roles & Responsibilities • Define and own the end-to-end architecture for enterprise cloud, data, analytics, machine learning and Generative AI platforms. • Architect and lead the development of scalable cloud and data platforms supporting digital transformation, business intelligence, advanced analytics and AI initiatives. • Design cloud-native, distributed and microservices-based solution architectures on AWS, Microsoft Azure or Google Cloud Platform. • Define scalable data architectures for batch, streaming, event-driven and real-time processing workloads. • Design enterprise data platforms covering data ingestion, transformation, storage, metadata management, governance, analytics and consumption. • Architect data-lake, data-warehouse and lakehouse solutions using platforms such as Databricks, Snowflake, Microsoft Fabric, BigQuery, Synapse or equivalent technologies. • Design cloud-native data products, APIs and reusable services that enable business intelligence, advanced analytics and AI applications. • Lead the architecture and deployment of machine-learning solutions, including model development, feature engineering, deployment, monitoring, retraining and lifecycle management. • Define and implement MLOps architectures using platforms and tools such as MLflow, Azure Machine Learning, Amazon SageMaker or equivalent technologies. • Lead the design of Generative AI solutions using large language models, retrieval-augmented generation, vector databases, prompt engineering and agent-based frameworks. • Define AI orchestration patterns for intelligent assistants, copilots, autonomous agents and domain-specific AI applications. • Design and optimise enterprise-grade data pipelines to ensure reliable, scalable and high-quality data processing. • Architect streaming and real-time analytics solutions using Apache Kafka, Amazon Kinesis, Apache Pulsar, Apache Flink, Spark Streaming or equivalent technologies. • Establish data-modelling, indexing, partitioning, caching and performance-optimisation standards for relational, NoSQL and analytical data stores. • Design integration frameworks using APIs, event-driven architectures, messaging platforms and enterprise data ecosystems. Job Description - Grade Specific • Extensive experience designing scalable, secure and highly available enterprise solutions on AWS, Microsoft Azure or Google Cloud Platform. • Strong understanding of cloud-native, distributed, event-driven and microservices-based architectures. • Deep expertise in designing and implementing enterprise data platforms covering ingestion, processing, storage, governance, analytics and data consumption. • Strong experience with data-lake, data-warehouse and lakehouse architecture patterns. • Hands-on experience with data-engineering platforms such as Apache Spark, Databricks, Snowflake, Google BigQuery, Azure Synapse Analytics, Microsoft Fabric or equivalent technologies. • Strong experience with relational, NoSQL and analytical databases, including data modelling, indexing, partitioning and performance optimisation. • Hands-on experience with streaming platforms such as Apache Kafka, Amazon Kinesis, Apache Pulsar, Apache Flink or Spark Streaming. • Strong understanding of machine-learning and AI lifecycle management, including data preparation, model development, validation, deployment, monitoring, retraining and governance. • Experience designing and implementing enterprise MLOps platforms and practices. • Hands-on experience with tools such as MLflow, Azure Machine Learning, Amazon SageMaker or equivalent platforms. • Strong experience building Generative AI applications using large language models and retrieval-augmented generation architectures. • Experience designing agent-based and multi-agent AI solutions using frameworks such as LangChain, LangGraph, Semantic Kernel or equivalent technologies. • Experience with vector databases and semantic-search platforms such as Pinecone, Weaviate, Azure AI Search, OpenSearch, pgvector or equivalent technologies. • Proficiency in Python and SQL, together with working knowledge of at least one additional language such as Java, Golang or Node.js. • Experience developing and deploying cloud-native APIs, microservices and data services. Description from Capgemini's public careers feed, reproduced so you can read the role here. Apply on the company's own site; Real Analyst Jobs never submits anything for you. ## How to apply Open [this role on Real Analyst Jobs](https://realanalystjobs.com/job/cloud-data-science-and-ai-architect-capgemini-289c4d58) and use Apply now there to reach the employer's application. The listing is re-checked against Capgemini's careers page daily and removed when it closes. ## Capgemini 222 open analyst roles on Real Analyst Jobs. [More roles at Capgemini](https://realanalystjobs.com/companies/capgemini) ## More like this ### Other open roles at Capgemini - [MES Technical Business Analyst](https://realanalystjobs.com/job/mes-technical-business-analyst-capgemini-fa1a653a), New York New York, USA (On-site) - [Functional Analyst](https://realanalystjobs.com/job/functional-analyst-capgemini-00cc8f42), Spain (On-site) - [Business Analyst Senior Secteur Public](https://realanalystjobs.com/job/business-analyst-senior-secteur-public-capgemini-c49e0244), France (On-site) - [Looker and Tableau Developer](https://realanalystjobs.com/job/looker-and-tableau-developer-capgemini-089bbe73), Bucharest, Romania - [ABL - Business Analyst](https://realanalystjobs.com/job/abl-business-analyst-capgemini-e19f6f16), Aguascalientes, Mexico - [Data analyst jobs in India](https://realanalystjobs.com/jobs/data-analyst-jobs-in-india) - [Analyst job market report](https://realanalystjobs.com/analyst-job-market) - [What analyst roles pay](https://realanalystjobs.com/blog/data-analyst-salaries) ## Sources and links - [This role on Real Analyst Jobs](https://realanalystjobs.com/job/cloud-data-science-and-ai-architect-capgemini-289c4d58) - [Capgemini on Real Analyst Jobs](https://realanalystjobs.com/companies/capgemini) - [All analyst jobs](https://realanalystjobs.com/jobs)