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Systems Integration Specialist Advisor

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NTT DATA

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Location:
India , Noida

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Category:
IT - Software Development

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Contract Type:
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Salary:

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Job Description:

The Systems Integration Specialist Advisor will lead the design, implementation, and governance of enterprise-scale AI platforms integrated with DevOps, Cloud, and Security frameworks. The ideal candidate will have extensive experience in AI architecture, cloud engineering, and security leadership, with a strong focus on delivering production-grade AI/ML solutions.

Job Responsibility:

  • Design and architect enterprise AI/ML and GenAI platforms (LLMs, RAG, agentic AI, AIOps, automation)
  • Define scalable AI reference architectures aligned with business objectives
  • Lead end-to-end AI lifecycle management: model development, validation, deployment, monitoring, and governance
  • Establish standards for AI explainability, observability, and ethical AI practices
  • Architect AI solutions across AWS, Azure, or GCP environments
  • Design scalable data pipelines, model serving infrastructure, and distributed systems
  • Implement containerization (Docker) and orchestration (Kubernetes)
  • Build high-availability, resilient AI platforms with performance optimization
  • Establish CI/CD pipelines for AI/ML workloads
  • Implement Infrastructure as Code (Terraform, ARM, CloudFormation)
  • Build automated model deployment and monitoring pipelines (MLOps)
  • Integrate AI into DevSecOps frameworks for secure continuous delivery
  • Architect secure AI systems adhering to Zero Trust principles
  • Implement model security controls (data protection, encryption, access control, secrets management)
  • Conduct threat modeling for AI workloads (prompt injection, model poisoning, drift)
  • Ensure compliance with enterprise security, regulatory, and audit requirements
  • Collaborate with security teams to perform red-teaming and AI risk assessments
  • Work closely 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

Requirements:

  • 7-12+ years of experience in enterprise architecture, cloud engineering, or platform leadership
  • 5+ years designing and deploying AI/ML or GenAI solutions in production
  • Strong expertise in Python, AI frameworks (TensorFlow, PyTorch, LangChain, etc.)
  • Deep understanding of LLM architecture, RAG systems, and agentic frameworks
  • Hands-on experience with Kubernetes, Docker, CI/CD pipelines
  • Strong cloud architecture experience (AWS/Azure/GCP certifications preferred)
  • Experience implementing DevSecOps practices
  • Strong knowledge of enterprise security frameworks and cloud security controls
  • Experience designing high-availability distributed systems

Nice to have:

  • Experience building enterprise AI platforms (AIOps, self-healing systems, automation)
  • Knowledge of data governance and enterprise knowledge graphs
  • Experience integrating AI with ITSM platforms (ServiceNow, Remedy)
  • Cloud or Security certifications (AWS/Azure Architect, CISSP, CCSP, etc.)
  • Experience leading global, cross-functional technical teams

Additional Information:

Job Posted:
May 03, 2026

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