Systems Integration Specialist
NTT DATA
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.
Don't want to miss the next one?
Subscribe to daily email alerts for roles matching your interests.
