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 settings. The
ideal candidate combines deep AI expertise with robust 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.
St

📌 Systems Integration Specialist Hyderabad
🏢 NTT DATA Services
📍 Hyderabad