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NTT Data

Global IT services and consulting provider.

Systems Integration Specialist Advisor

AI & Machine LearningUpdated on Nov 14
Full-timeNoida, Uttar Pradesh, IndiaNo salary listedIn-person

About the Job

Requirements

  • Seven to twelve or more years of experience in enterprise architecture, cloud engineering, or platform leadership.
  • Five or more years of experience designing and deploying AI, machine learning, or generative AI solutions in production.
  • Strong expertise in Python and AI frameworks such as TensorFlow, PyTorch, and LangChain.
  • Deep understanding of large language model architecture, retrieval-augmented generation systems, and agentic frameworks.
  • Hands-on experience with Kubernetes, Docker, and continuous integration and continuous delivery pipelines.
  • Strong cloud architecture experience; AWS, Azure, or Google Cloud Platform certifications are preferred.
  • Experience implementing DevSecOps practices.
  • Strong knowledge of enterprise security frameworks and cloud security controls.
  • Experience designing high-availability distributed systems.

Responsibilities

  • Design and architect enterprise AI, machine learning, and generative AI platforms, including large language models, retrieval-augmented generation, agentic AI, AIOps, and automation.
  • Define scalable AI reference architectures aligned with business objectives.
  • Lead end-to-end AI lifecycle management, including model development, validation, deployment, monitoring, and governance.
  • Establish standards for AI explainability, observability, and ethical AI practices.
  • Architect AI solutions across AWS, Azure, or Google Cloud Platform environments.
  • Design scalable data pipelines, model-serving infrastructure, and distributed systems.
  • Implement containerization with Docker and orchestration with Kubernetes.
  • Build high-availability, resilient AI platforms and optimize their performance.
  • Establish continuous integration and continuous delivery pipelines for AI and machine learning workloads.
  • Implement Infrastructure as Code using Terraform, ARM, or CloudFormation.
  • Build automated model deployment and monitoring pipelines for MLOps.
  • Integrate AI into DevSecOps frameworks for secure continuous delivery.
  • Architect secure AI systems following Zero Trust principles.
  • Implement model security controls, including data protection, encryption, access control, and secrets management.
  • Conduct threat modeling for AI workloads, including prompt injection, model poisoning, and drift.
  • Ensure compliance with enterprise security, regulatory, and audit requirements.
  • Collaborate with security teams on red teaming and AI risk assessments.
  • Work with stakeholders to define AI transformation roadmaps.
  • Provide architectural governance and technical mentorship to engineering teams.
  • Evaluate emerging AI technologies and define adoption strategies.
  • Drive innovation initiatives aligned with enterprise modernization goals.

Desired Qualifications

  • Experience building enterprise AI platforms, including AIOps, self-healing systems, or automation.
  • Knowledge of data governance and enterprise knowledge graphs.
  • Experience integrating AI with IT service management platforms such as ServiceNow or Remedy.
  • Cloud or security certifications, such as AWS or Azure Architect, CISSP, or CCSP.
  • Experience leading global, cross-functional technical teams.

About the Company

NTT Data

Global IT services and consulting provider.

NTT DATA is a global IT and business services provider that helps organizations run and transform their technology and operations. It delivers consulting, industry solutions, cloud migration, cybersecurity, data analytics, and managed services to modernize systems and processes. It differentiates itself through its large scale, deep sector expertise in banking, healthcare, manufacturing, public sector, and automotive, and its broad ecosystem of partners with Microsoft, SAP, AWS, and Salesforce. Its goal is to help large enterprises digitally transform and optimize operations at scale using cloud-native approaches and secure IT environments.

Company size
10,001+
Company stage
IPO
Headquarters
Tokyo, Japan
Founded
1988

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