{"id":2670850,"url":"https://alion.io/job/ntt-data-ai-architect-2","title":"AI Architect","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":"AI/ML","role_family":"AI/ML","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":33000,"max_usd":82000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":10},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Azure","optional":false},{"name":"BERT","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"Docker","optional":false},{"name":"Fine-tuning","optional":false},{"name":"GDPR","optional":false},{"name":"HIPAA","optional":false},{"name":"Kubernetes","optional":false},{"name":"LangChain","optional":false},{"name":"Langfuse","optional":false},{"name":"LlamaIndex","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"MLFlow","optional":false},{"name":"NLP","optional":false},{"name":"OpenAI","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"RAG","optional":false},{"name":"Semantic Search","optional":false},{"name":"Semantic Search","optional":false},{"name":"TensorFlow","optional":false},{"name":"Terraform","optional":false},{"name":"Transformers","optional":false},{"name":"AWS","optional":true},{"name":"FAISS","optional":true},{"name":"Milvus","optional":true},{"name":"Pinecone","optional":true}],"status":"live","first_seen_at":"2026-10-12T10:40:41Z","employer_posted_date":"2026-10-13","last_verified_at":"2026-10-16T09:39:49Z","board_verified":true,"closed_at":null,"days_open":4,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":4},"description":"India T&M Special Bonus:\nReq ID: 370506\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 Architect to join our team in Noida, Uttar Pradesh (IN-UP), India (IN).\nJOB TITLE: AI/ML Architect (Generative AI & LLM Solutions)\nJob Summary\nWe are seeking an experienced AI/ML Architect with deep expertise in Generative AI, Large Language Models (LLMs), and scalable AI platform design. In this role, you will be responsible for defining architecture, guiding implementation, and ensuring the scalability, security, and reliability of enterprise-grade AI solutions. You will work closely with cross-functional teams to translate business strategy into robust AI systems and frameworks.\nKEY RESPONSIBILITIES\nAI/ML & Solution Architecture\nDefine and design end-to-end AI/ML architectures, including data pipelines, model lifecycle, and deployment frameworks.\nEstablish best practices, standards, and reusable frameworks for ML and Generative AI solutions.\nProvide architectural guidance on model selection, optimization strategies, and scalability considerations.\nEnsure systems are designed for high availability, performance, and cost efficiency.\nGenerative AI & LLM Architecture\nDesign and oversee development of LLM-based enterprise solutions (chatbots, summarization systems, semantic search, copilots).\nDefine prompt engineering strategies, RAG architectures, and orchestration frameworks (e.g., LangChain, LlamaIndex).\nEvaluate and select LLM providers, open-source models, and fine-tuning approaches.\nArchitect secure and scalable integrations with APIs (OpenAI, Azure OpenAI, etc.).\nLead design of vector database strategies and embedding pipelines.\nPlatform Engineering & MLOps Strategy\nArchitect enterprise MLOps frameworks, including CI/CD pipelines, model governance, and monitoring systems.\nDefine model lifecycle management standards (MLflow, Langfuse, etc.).\nOversee deployment strategies across cloud platforms (Azure preferred), including Databricks integration.\nDrive adoption of containerization (Docker), orchestration (Kubernetes), and Infrastructure as Code (Terraform).\nGovernance, Security & Compliance\nEstablish AI governance frameworks, ensuring compliance with GDPR, HIPAA, and enterprise security standards.\nDefine policies for responsible AI, model explainability, and risk mitigation.\nEnsure data privacy, security, and auditability across all AI systems.\nLeadership & Collaboration\nAct as a technical leader and mentor for AI/ML engineers and data scientists.\nCollaborate with business stakeholders, product owners, and engineering teams to align AI initiatives with business goals.\nDrive architecture reviews, design decisions, and technical roadmaps.\nCommunicate complex architectural concepts to both technical and executive stakeholders.\nREQUIRED SKILLS\nAI/ML & Architecture Expertise\nStrong expertise in machine learning, deep learning, and NLP architectures.\nProven experience designing large-scale AI/ML systems and platforms.\nAdvanced proficiency in Python and ML frameworks (PyTorch, TensorFlow, etc.).\nGenerative AI & LLMs\nDeep experience with LLMs (GPT, BERT, open-source models) and Transformer architectures.\nExpertise in RAG, prompt engineering, fine-tuning, and LLM evaluation frameworks.\nExperience designing enterprise-grade GenAI applications.\nCloud & MLOps\nStrong experience with Azure AI/ML ecosystem, Databricks, and cloud-native architectures.\nExpertise in CI/CD, model deployment, monitoring, and observability.\nFamiliarity with containerization, Kubernetes, and distributed systems.\nArchitecture & Design Skills\nProven ability to design scalable, modular, and secure systems.\nStrong understanding of microservices, APIs, and event-driven architectures.\nLeadership & Strategy\nExperience leading technical teams and driving architecture decisions.\nStrong problem-solving, decision-making, and stakeholder management skills.\nPREFERRED SKILLS\nExperience in healthcare or regulated industries (HIPAA, GDPR).\nFamiliarity with vector databases (Pinecone, FAISS, Milvus).\nExposure to Responsible AI frameworks and AI governance models.\nCertifications in Azure AI, AWS ML, or Enterprise Architecture frameworks.\nEDUCATION & CERTIFICATIONS\nBachelor’s or Master’s degree in Computer Science, AI, Data Science, or related field.\nRelevant certifications in Cloud, AI/ML, or Architecture are a plus.\nADDITIONAL ATTRIBUTES\nStrong communication skills with ability to influence cross-functional teams and leadership.\nStrategic thinker with a forward-looking approach to AI innovation.\nAbility to operate in global, distributed environments.\nKEYWORDS FOR VISIBILITY\nAI Architect, Generative AI Architect, LLM Architect, Enterprise AI, RAG, LangChain, Azure AI, MLOps Architecture, AI Governance, NLP Architect, Databricks, Vector DB, Responsible AI\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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