Systems Integration Specialist

NTT
Hyderabad
Workplace: OnsiteFull timeFunction: DevOps, Cloud & InfrastructureExperience: 3+ yearsSkills: ["Strategic thinking","Executive communication","Translating complex concepts into business value","Governance mindset","Leadership/mentorship"]

Architect and govern enterprise AI/ML and GenAI platforms integrated with cloud, DevOps, and security. Lead end-to-end AI lifecycle management (development through monitoring) and establish AI reference architectures, explainability, and ethical practices. Design production AI systems across AWS/Azure/GCP using scalable data pipelines, model-serving infrastructure, Docker/Kubernetes, and CI/CD with Infrastructure as Code. Implement DevSecOps and Zero Trust controls, including threat modeling and compliance.

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FursaFursa
NTT
NTT
6 days ago

Systems Integration Specialist

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Source: Company careers pageValidated by: Fursa AI
Last checked: 21 hours agoStatus: Live
Reposted: similar role first listed 1 month ago

Job Summary

Architect and govern enterprise AI/ML and GenAI platforms integrated with cloud, DevOps, and security. Lead end-to-end AI lifecycle management (development through monitoring) and establish AI reference architectures, explainability, and ethical practices. Design production AI systems across AWS/Azure/GCP using scalable data pipelines, model-serving infrastructure, Docker/Kubernetes, and CI/CD with Infrastructure as Code. Implement DevSecOps and Zero Trust controls, including threat modeling and compliance.
Location: Hyderabad
Workplace: Onsite
Employment Type: Full time
Job Function: DevOps, Cloud & Infrastructure
Seniority: Mid level

Key Responsibilities

  • •Design and architect enterprise AI/ML and GenAI platforms (LLMs, RAG, agentic AI, AIOps) aligned to business objectives.
  • •Lead end-to-end AI lifecycle management including validation, deployment, monitoring, and governance.
  • •Architect secure AI systems using Zero Trust principles, including model security controls and threat modeling (e.g., prompt injection, model poisoning, drift).
  • •Implement cloud and platform engineering for AI workloads across AWS/Azure/GCP, including scalable pipelines, model serving infrastructure, and Docker/Kubernetes.
  • •Establish DevOps and MLOps integrations with CI/CD pipelines and Infrastructure as Code (Terraform, ARM, CloudFormation), including automated deployment and monitoring.

Key Requirements

  • •3+ years experience in enterprise architecture, cloud engineering, or platform leadership.
  • •3+ years designing and deploying AI/ML or GenAI solutions in production.
  • •Strong expertise in Python and AI frameworks such as TensorFlow, PyTorch, and LangChain.
  • •Deep understanding of LLM architectures, RAG systems, and agentic frameworks, with hands-on Kubernetes and Docker experience.
  • •Experience implementing DevSecOps practices and enterprise security controls across cloud environments (AWS/Azure/GCP).
Experience:3+ yearsEnterprise architectureCloud engineeringAI/MLGenAIDevSecOps
Skills:Strategic thinkingExecutive communicationTranslating complex concepts into business valueGovernance mindsetLeadership/mentorship
Certifications:AWS/Azure ArchitectCISSPCCSP
Tech Stack:PythonTensorFlowPyTorchLangChainLLMsRAGAgentic AIAIOpsDockerKubernetesCI/CDInfrastructure as CodeTerraformARMCloudFormationAWSAzureGCPZero TrustModel monitoring

Company Brief

NTT
Dimension Data, operating under NTT Ltd, provides managed IT services, cloud and data center solutions, networking, cybersecurity, and digital transformation services to enterprise customers worldwide.
Industry: Professional Services
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Established Company
Valuation: Public Company (Market Cap in USD)
Headquarters: London, United Kingdom
Founded: 1983
WebsiteLinkedIn