Systems Integration Specialist Advisor

NTT DATA North America; Dadri; On-site; INR 2,500,000 - 4,000,000; Full time

Job summary

NTT DATA North America is searching for a Senior AI Architect in Dadri, India. The successful candidate will lead the design and implementation of enterprise-scale AI platforms integrated with DevOps and Security frameworks. Candidates should possess 7-12+ years of experience in enterprise architecture with a strong background in AI/ML solutions and cloud technologies. This role emphasizes strategic thinking and the ability to translate AI concepts into business value. Comprehensive knowledge of security frameworks is essential.

Qualifications

• 7-12+ years of experience in enterprise architecture or cloud engineering.
• 5+ years in designing AI/ML or GenAI solutions.
• Deep understanding of LLM architecture and agentic frameworks.

Responsibilities

• Lead design and governance of enterprise AI platforms.
• Architect solutions across AWS, Azure, or GCP environments.
• Establish CI/CD pipelines for AI/ML workloads.

Skills

Python AI frameworks

Kubernetes

Docker

AI/ML solutions

DevSecOps practices

Education

Cloud or Security certifications (AWS/Azure Architect, CISSP, CCSP)

Tools

TensorFlow

PyTorch

Terraform

CloudFormation

Job description

Role Overview

We are seeking a highly accomplished Senior AI Architect to lead the design, implementation, and governance of enterprise‑scale AI platforms integrated with DevOps, Cloud, and Security frameworks. This role requires a strategic 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

AI & Architecture Leadership

• 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.

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

• 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.

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.

Leadership Competencies

• Strategic thinking and enterprise vision.
• Strong executive communication skills.
• Ability to translate complex AI concepts into business value.
• Governance‑driven mindset with innovation orientation.

EEO Statement

NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.