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NTT DATA Logo NTT DATA · IT - Software Development

Data/ai Architect

India, Remote · Job Posted April 16, 2026
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Job Description

The Data/AI Architect will design scalable and secure data and AI architectures aligned with business objectives. Responsibilities include creating technical blueprints for AI-driven solutions, advising clients on technology choices, and overseeing the deployment of AI/ML solutions.

Job Responsibility

  • Design end-to-end data and AI architectures that are scalable, secure, and aligned to business objectives
  • Create technical blueprints for AI-driven solutions, including data platforms, pipelines, models, and integrations with enterprise systems
  • Define target-state architectures across cloud platforms (Azure, AWS, GCP), data lakes, databases, and AI services
  • Translate business challenges and outcomes into data and AI solution designs
  • Advise clients and internal stakeholders on technology choices, architectural tradeoffs, and industry best practices
  • Evaluate the business value, feasibility, and ROI of proposed AI and data initiatives
  • Architect and guide the deployment of AI/ML and generative AI solutions, ensuring performance, reliability, and scalability
  • Oversee model lifecycle considerations, including evaluation, optimization, and integration into production environments
  • Stay current on emerging AI techniques and platforms to continuously improve solution design
  • Define and govern data platform architectures, including ingestion, transformation, storage, and consumption layers
  • Ensure seamless integration with existing enterprise infrastructure, applications, and data sources
  • Guide infrastructure decisions involving containers, orchestration (e.g., Kubernetes), DevOps, and cloud-native services

Requirements

  • Extensive experience with cloud platforms and data integration
  • Design end-to-end data and AI architectures that are scalable, secure, and aligned to business objectives
  • Create technical blueprints for AI-driven solutions, including data platforms, pipelines, models, and integrations with enterprise systems
  • Define target-state architectures across cloud platforms (Azure, AWS, GCP), data lakes, databases, and AI services
  • Translate business challenges and outcomes into data and AI solution designs
  • Advise clients and internal stakeholders on technology choices, architectural tradeoffs, and industry best practices
  • Evaluate the business value, feasibility, and ROI of proposed AI and data initiatives
  • Architect and guide the deployment of AI/ML and generative AI solutions, ensuring performance, reliability, and scalability
  • Oversee model lifecycle considerations, including evaluation, optimization, and integration into production environments
  • Stay current on emerging AI techniques and platforms to continuously improve solution design
  • Define and govern data platform architectures, including ingestion, transformation, storage, and consumption layers
  • Ensure seamless integration with existing enterprise infrastructure, applications, and data sources
  • Guide infrastructure decisions involving containers, orchestration (e.g., Kubernetes), DevOps, and cloud-native services
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