{"id":2672879,"url":"https://alion.io/job/ntt-data-ai-manager-devops","title":"AI Manager-DevOps","company":{"id":50348,"name":"NTT DATA","domain":"nttdata.com","url":"https://alion.io/company/ntt-data","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Phenom","truth_index":{"grade":"B","score":75,"open_postings":26,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":25,"computed_at":"2026-10-16T05:45:00Z"}},"role":"DevOps","role_family":"DevOps","seniority":"staff","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Noida, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":24000,"max_usd":56000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":823},"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":".NET","optional":false},{"name":"Agile","optional":false},{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"AWS Bedrock","optional":false},{"name":"Azure","optional":false},{"name":"Azure DevOps","optional":false},{"name":"Bicep","optional":false},{"name":"CI/CD","optional":false},{"name":"Docker","optional":false},{"name":"FAISS","optional":false},{"name":"GCP","optional":false},{"name":"Gemini","optional":false},{"name":"Git","optional":false},{"name":"GitHub Actions","optional":false},{"name":"GitLab CI","optional":false},{"name":"Grafana","optional":false},{"name":"Java","optional":false},{"name":"Jenkins","optional":false},{"name":"Kubernetes","optional":false},{"name":"LangChain","optional":false},{"name":"LlamaIndex","optional":false},{"name":"Node JS","optional":false},{"name":"OpenAI","optional":false},{"name":"Pinecone","optional":false},{"name":"Prometheus","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Rest API","optional":false},{"name":"Scrum","optional":false},{"name":"Semantic Kernel","optional":false},{"name":"Terraform","optional":false},{"name":"Vertex AI","optional":false},{"name":"C#","optional":true},{"name":"JavaScript","optional":true},{"name":"Machine Learning","optional":true}],"status":"live","first_seen_at":"2026-10-12T10:53:25Z","employer_posted_date":"2026-10-13","last_verified_at":"2026-10-16T09:39:49Z","board_verified":true,"closed_at":null,"days_open":3,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":3},"description":"India T&M Special Bonus:\nReq ID: 374783\nNTT 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.\nWe are currently seeking a AI Manager-DevOps to join our team in Noida, Uttar Pradesh (IN-UP), India (IN).\nJob Description - AI Development Manager (with DevOps Understanding)\nRole Overview\nWe 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.\nThe 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.\nKey Responsibilities\nLead the end-to-end development and delivery of AI/ML and Generative AI applications.\nDefine application architecture, development standards, and engineering best practices.\nLead teams of AI Engineers, Full Stack Developers, and Technical Leads across multiple projects.\nDesign scalable, secure, and cloud-native AI solutions.\nCollaborate with Data Science, Product, QA, Infrastructure, and Security teams to deliver enterprise AI applications.\nWork closely with DevOps teams to establish CI/CD pipelines, deployment automation, release management, and production support.\nEnsure AI applications are scalable, reliable, secure, and production-ready.\nDrive Agile development practices, code quality, and engineering governance.\nReview solution designs, perform technical reviews, and mentor engineering teams.\nManage project delivery, technical risks, and stakeholder communication.\nPromote innovation by evaluating emerging AI technologies and engineering best practices.\nMandatory Skills & Experience\n10+ years of IT experience with at least 5+ years in application development or engineering leadership.\nProven experience delivering AI/ML or Generative AI applications in enterprise environments.\nStrong expertise in software development, system design, and cloud-native application architecture.\nExperience leading technical teams and managing enterprise-scale delivery.\nGood understanding of DevOps principles, CI/CD pipelines, containerization, and deployment automation.\nExperience working in Agile/Scrum environments.\nTechnical Skills\nAI & Generative AI\nLarge Language Models (LLMs)\nPrompt Engineering\nRetrieval-Augmented Generation (RAG)\nAI Agents / Agentic AI\nLangChain, LlamaIndex, Semantic Kernel (or similar)\nOpenAI, Azure OpenAI, AWS Bedrock, Google Gemini/Vertex AI\nVector Databases (FAISS, Pinecone, ChromaDB, Azure AI Search)\nApplication Development\nPython\nJava / .NET / Node.js (any one preferred)\nREST APIs\nMicroservices Architecture\nEvent-Driven Architecture\nCloud Platforms\nMicrosoft Azure\nAWS\nGoogle Cloud Platform (GCP)\nDevOps Understanding\nGit\nAzure DevOps / Jenkins / GitLab CI/CD / GitHub Actions\nDocker\nKubernetes\nCI/CD pipelines\nInfrastructure as Code concepts (Terraform or Bicep preferred)\nRelease Management and Deployment Automation\nMonitoring & Security\nAzure Monitor / Application Insights\nGrafana / Prometheus\nLogging & Observability\nSecure Coding Practices\nDevSecOps fundamentals\nSoft Skills\nStrong technical leadership and people management skills.\nExcellent communication and stakeholder management.\nStrategic thinking and problem-solving ability.\nAbility to drive delivery independently in a fast-paced environment.\nExperience managing distributed/global teams.\nPreferred Qualifications\nExperience with MLOps platforms and AI model lifecycle management.\nAzure AI Engineer, AWS Machine Learning, or Google Professional ML certifications.\nAzure DevOps, Kubernetes, or Cloud certifications.\nPMP, SAFe, Scrum Master, or Agile certifications.\nKey Competencies\nAI Solution Development\nGenerative AI Engineering\nSoftware Engineering Leadership\nEnterprise Application Architecture\nCloud-Native Development\nDevOps Collaboration\nCI/CD & Deployment Automation\nTechnical Leadership\nStakeholder Management\nAgile Delivery\nInnovation & Continuous Improvement\nOwnership & Accountability\nAbout NTT DATA\nNTT 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.\nWhenever 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.\nNTT 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. 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