AI Manager-DevOps

NTT America, Inc.; Dadri; On-site; INR 3,500,000 - 7,000,000; Full time

Job summary

NTT DATA seeks an AI Development Manager to lead design, development, and delivery of enterprise AI and Generative AI solutions in Noida, India. You will drive cross-functional teams, define architecture and standards, and ensure scalable, secure deployments on cloud platforms.

You will mentor engineers, collaborate with data science, product, QA, infra and security teams, and promote Agile practices and governance for accelerated AI delivery.

Qualifications

• 10+ years IT experience with at least 5+ years in engineering leadership.
• Proven experience delivering AI/ML or Generative AI applications in enterprise environments.
• Strong expertise in software development, system design, and cloud-native architecture.

Responsibilities

• Lead end-to-end development and delivery of AI/ML and Generative AI applications.
• Define application architecture, development standards, and engineering best practices.
• Lead teams of AI Engineers, Full Stack Developers, and Technical Leads across multiple projects.

Skills

AI leadership

Software engineering

AI development

DevOps practices

CI/CD pipelines

Cloud-native design

Team leadership

Agile/Scrum

Tools

Azure DevOps

Jenkins

GitLab CI/CD

GitHub Actions

Docker

Kubernetes

Terraform

Job description

Req ID: 374783

NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization,

We are currently seeking a AI Manager-DevOps to join our team in Noida, Uttar Pradesh (IN-UP), India (IN).

Job Description – AI Development Manager (with DevOps Understanding)

Role Overview

We are seeking an experienced AI Development Manager to lead the design, development, and delivery of enterprise AI and Generative AI solutions. The ideal candidate will possess strong software engineering and AI development expertise, coupled with a good understanding of DevOps practices to ensure seamless deployment, automation, scalability, and operational excellence.

The role requires technical leadership, hands-on solution architecture, stakeholder management, and the ability to lead cross-functional teams in delivering AI-powered applications on modern cloud platforms.

Key Responsibilities

• Lead the end-to-end development and delivery of AI/ML and Generative AI applications.

• Define application architecture, development standards, and engineering best practices.

• Lead teams of AI Engineers, Full Stack Developers, and Technical Leads across multiple projects.

• Design scalable, secure, and cloud-native AI solutions.

• Collaborate with Data Science, Product, QA, Infrastructure, and Security teams to deliver enterprise AI applications.

• Work closely with DevOps teams to establish CI/CD pipelines, deployment automation, release management, and production support.

• Ensure AI applications are scalable, reliable, secure, and production-ready.

• Drive Agile development practices, code quality, and engineering governance.

• Review solution designs, perform technical reviews, and mentor engineering teams.

• Manage project delivery, technical risks, and stakeholder communication.

• Promote innovation by evaluating emerging AI technologies and engineering best practices.

Mandatory Skills & Experience

• 10+ years of IT experience with at least 5+ years in application development or engineering leadership.

• Proven experience delivering AI/ML or Generative AI applications in enterprise environments.

• Strong expertise in software development, system design, and cloud-native application architecture.

• Experience leading technical teams and managing enterprise-scale delivery.

• Good understanding of DevOps principles, CI/CD pipelines, containerization, and deployment automation.

• Experience working in Agile/Scrum environments.

Technical Skills

AI & Generative AI

• Large Language Models (LLMs)

• Prompt Engineering

• Retrieval-Augmented Generation (RAG)

• AI Agents / Agentic AI

• LangChain, LlamaIndex, Semantic Kernel (or similar)

• OpenAI, Azure OpenAI, AWS Bedrock, Google Gemini/Vertex AI

• Vector Databases (FAISS, Pinecone, ChromaDB, Azure AI Search)

Application Development

• Python

• Java / .NET / Node.js (any one preferred)

• REST APIs

• Microservices Architecture

• Event-Driven Architecture

Cloud Platforms

• Microsoft Azure

• AWS

• Google Cloud Platform (GCP)

DevOps Understanding

• Git

• Azure DevOps / Jenkins / GitLab CI/CD / GitHub Actions

• Docker

• Kubernetes

• CI/CD pipelines

• Infrastructure as Code concepts (Terraform or Bicep preferred)

• Release Management and Deployment Automation

Monitoring & Security

• Azure Monitor / Application Insights

• Grafana / Prometheus

• Logging & Observability

• Secure Coding Practices

• DevSecOps fundamentals

Soft Skills

• Strong technical leadership and people management skills.

• Excellent communication and stakeholder management.

• Strategic thinking and problem-solving ability.

• Ability to drive delivery independently in a fast-paced environment.

• Experience managing distributed/global teams.

Preferred Qualifications

• Experience with MLOps platforms and AI model lifecycle management.

• Azure AI Engineer, AWS Machine Learning, or Google Professional ML certifications.

• Azure DevOps, Kubernetes, or Cloud certifications.

• PMP, SAFe, Scrum Master, or Agile certifications.

Key Competencies

• AI Solution Development

• Generative AI Engineering

• Software Engineering Leadership

• Enterprise Application Architecture

• Cloud-Native Development

• DevOps Collaboration

• CI/CD & Deployment Automation

• Technical Leadership

• Stakeholder Management

• Agile Delivery

• Innovation & Continuous Improvement

• Ownership & Accountability

About NTT DATA

NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D.

NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, https://us.nttdata.com/en/contact-us .

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