NTT DATA North America
Website:
us.nttdata.com
Company:
https://www.linkedin.com/company/ntt-data-americas
Seniority: Mid-Senior level
Industries: IT Services and IT Consulting
Job details:
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, apply now.
We are currently seeking a AI Manager-DevOps to join our team in Noida, Uttar Pradesh (IN-UP), India (IN).
Role Overview
Job Description – AI Development Manager (with DevOps Understanding)
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.
Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client’s needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. 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.
NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. 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. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.
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