Systems Integration Specialist
NTT DATA BUSINESS SOLUTIONS · Hyderabad · onsite · Posted 61d ago
Undisclosed3–8 yrsfulltimeSourced from
About a minute. You'll make an account on the way through.
About this role
Role Overview
We are seeking a highly accomplished DevOps candidate. This role requires technologist capable of architecting production-grade AI/ML and GenAI solutions while embedding secure DevSecOps practices across multi-cloud environments. The ideal candidate combines deep AI expertise with strong cloud architecture, automation, and security leadership.
Key Responsibilities
Cloud & Platform Engineering
- 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.
DevOps & MLOps Integration
- 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.
Security & Governance
- 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.
Stakeholder & Strategic Leadership
- 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.
Required Qualifications
- 3+ years of 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, 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.
Preferred Qualifications
- 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.
Sourced from naukri
Skills
AutomationDockerAIOpsCI/CD Pipelinescloud engineeringai frameworksamazon web servicesai technologiesAzure Architectaws cloudformationcisspCCSPcloudCloud SecurityArchitecturecomplianceAi SolutionsMicrosoft AzureCloud ArchitectureArtificial Intelligence
About NTT DATA Business Solutions
NTT DATA BUSINESS SOLUTIONS
IT Services & Consulting
4k+
employees
1989
37 years old
Hyderabad / Secunderabad, Telangana
India
About
NTT DATA Business Solutions helps clients innovate and transform through expert SAP solutions, advisory, implementation, and managed services.
Industries
IT Services & Consulting
Employee ratings
2,105 reviews
4.1/ 5
Culture
4.0
Career growth
3.5
Work-life
4.0
Employees rate it well for
Work Life Balance176Salary146Senior Management116Work Culture99Work Environment83
Find them on