{"id":3676713,"url":"https://alion.io/job/ntt-data-ai-architect-sr-advisor","title":"AI Architect Sr. Advisor","company":{"id":50348,"name":"NTT DATA","domain":"nttdata.com","url":"https://alion.io/company/ntt-data","size_band":"5000+","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"Phenom","truth_index":{"grade":"A","score":94,"open_postings":114,"ghost_share":0,"stale_share":0.412,"repost_share":0.026,"time_to_fill_p50_days":18,"computed_at":"2026-11-05T05:54:30Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"staff","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"CUDA","optional":false},{"name":"DeepSeek","optional":false},{"name":"Docker","optional":false},{"name":"Falcon","optional":false},{"name":"Hallucination","optional":false},{"name":"Haystack","optional":false},{"name":"IAM","optional":false},{"name":"KServe","optional":false},{"name":"Kubeflow","optional":false},{"name":"Kubernetes","optional":false},{"name":"LangChain","optional":false},{"name":"Llama","optional":false},{"name":"LlamaIndex","optional":false},{"name":"LLM","optional":false},{"name":"LLMOps","optional":false},{"name":"Mistral","optional":false},{"name":"MLFlow","optional":false},{"name":"Ollama","optional":false},{"name":"OpenShift","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Quantization","optional":false},{"name":"Qwen","optional":false},{"name":"RAG","optional":false},{"name":"Ray","optional":false},{"name":"Semantic Kernel","optional":false},{"name":"vLLM","optional":false},{"name":"Zero Trust","optional":false},{"name":"VMWare","optional":true}],"status":"live","first_seen_at":"2026-11-03T05:40:16Z","employer_posted_date":"2026-11-03","last_verified_at":"2026-11-05T13:27:48Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":2},"description":"Make an impact with NTT DATA\nJoin a company that is pushing the boundaries of what is possible. We are renowned for our technical excellence and leading innovations, and for making a difference to our clients and society. Our workplace embraces diversity and inclusion - it’s a place where you can grow, belong and thrive.\nJunior Private AI Architect\nExperience: 10 to 13 years (5+ years in AI/ML & Enterprise AI Architecture)\nLocations: Bangalore/Chennai/Delhi NCR/Pune/Hyderabad\nROLE OVERVIEW\nWe are seeking an experienced Private AI Architect to design and deliver enterprise-scale AI and GenAI platforms in private cloud, on-premises, and hybrid environments. This role spans architecture, presales, and delivery, with a focus on building secure, scalable, and sovereign AI platforms using open-source technologies, self-hosted LLMs, and agentic AI systems. The candidate will act as a trusted advisor, driving AI transformation programs while ensuring data privacy, governance, and regulatory compliance.\nKEY RESPONSIBILITIES & EXPECTED EXPERIENCE\nDemonstrate hands-on experience in designing, building, configuring, deploying and troubleshooting enterprise-grade Private AI/GenAI platforms using open-source and self-hosted technologies. Anirban: To emphasize the hands-on nature of the role.\nCreation of High-Level Design, Low-Level Design, platform blueprints, deployment patterns, and Private AI reference architectures for on-prem, private cloud, hybrid, and sovereign AI environments.\nDemonstrate hands-on experience in developing and implementing LLM, RAG and agentic AI solutions, including ingestion pipelines, vector databases, tool integrations, orchestration and evaluation components architectures for on-premises, private cloud, and hybrid deployments. Anirban: To emphasize the hands-on nature of the role.\nBuild and operationalize AI platforms using Kubernetes, containerization, and modern platform engineering practices\nImplement MLOps/LLMOps frameworks for model training, deployment, monitoring, and governance\nDemonstrate hands-on experience in deploying, configuring and optimizing self-hosted foundation models and enterprise AI workloads, including GPU utilization, quantization, batching, autoscaling, latency tuning and production troubleshooting. Anirban: To emphasize the hands-on nature of the role.\nDevelop reference architectures, accelerators, and reusable frameworks for Private AI adoption\nLead RFPs, proposals, and estimations for AI engagements\nAdvise clients on AI strategy, platform modernization, infrastructure readiness, and AI operating models\nCollaborate with infrastructure, cloud, security, and data engineering teams to establish enterprise AI foundations\nDrive POCs, MVPs, and enterprise AI adoption initiatives\nREQUIRED SKILLS & QUALIFICATIONS\nExperience\n10 to 13 years IT experience; 5+ years in AI/ML architecture\nProven delivery of enterprise AI/GenAI solutions in private cloud, on-premises, or hybrid environments\nPrivate AI & GenAI Expertise\nStrong understanding of self-hosted LLMs, open-source AI ecosystems, and enterprise AI platforms\nExpertise in LLMs, RAG, vector databases, prompt engineering, and agentic frameworks\nExperience with frameworks such as LangChain, LlamaIndex, Haystack, Semantic Kernel, or similar\nFamiliarity with open-source models such as Llama, Mistral, DeepSeek, Qwen, Falcon, or equivalent\nArchitecture & Infrastructure\nExpertise in MLOps/LLMOps lifecycle and governance - prompt/version management, model evaluation, hallucination testing, tracing, monitoring, drift detection, feedback loops, quality metrics, and production support.\nStrong understanding of Kubernetes, Docker, OpenShift, platform engineering, and distributed systems\nExperience with AI infrastructure including GPUs, model serving frameworks, inference optimization, and vector databases\nKnowledge of data platforms, data pipelines, and enterprise integration architectures\nExperience with technologies such as MLflow, Kubeflow, KServe, Ray, vLLM, Ollama, or similar is preferred\nQuantization, batching, GPU utilization, latency optimization, autoscaling, and high-availability inference design.\nGPU sizing, NVIDIA stack, CUDA, MIG, distributed inference/training, storage throughput, networking, capacity planning, workload scheduling, and infrastructure readiness assessment.\nSecurity, Privacy, and Sovereign AI Controls\nData isolation, zero-trust architecture, IAM/RBAC, encryption, secrets management, audit logging, secure model hosting, tenant isolation, data residency, and regulatory compliance.\nClient & Leadership\nExperience in RFPs, proposals, estimations\nStrong stakeholder management and communication skills\nPREFERRED QUALIFICATIONS\nExperience building enterprise AI platforms from the ground up using open-source technologies\nExposure to NVIDIA AI Enterprise, Red Hat OpenShift AI, VMware Private AI, or similar ecosystems\nExperience with air-gapped, sovereign, or highly regulated AI environments\nExposure to Responsible AI and regulatory environments (BFSI, Healthcare, Government, etc.)\nAbout NTT DATA\nNTT DATA is a $30+ billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long-term success. We invest over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure, and connectivity. We are also one of the leading providers of digital and AI infrastructure in the world. NTT DATA is part of NTT Group and headquartered in Tokyo.\nEqual Opportunity Employer\nNTT DATA is proud to be an Equal Opportunity Employer with a global culture that embraces diversity. We are committed to providing an environment free of unfair discrimination and harassment. We do not discriminate based on age, race, colour, gender, sexual orientation, religion, nationality, disability, pregnancy, marital status, veteran status, or any other protected category. Join our growing global team and accelerate your career with us. 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