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NTT Data

Global IT services and consulting provider.

AI Architect Sr. Advisor

Natural Language Processing & LLMsUpdated on Nov 14
Full-timeBengaluru, Karnataka, IndiaNo salary listed

About the Job

Requirements

  • 10 to 13 years of IT experience, including 5 or more years in AI/ML architecture.
  • Proven delivery of enterprise AI/GenAI solutions in private cloud, on-premises, or hybrid environments.
  • Strong understanding of self-hosted large language models, open-source AI ecosystems, and enterprise AI platforms.
  • Expertise in large language models, retrieval-augmented generation, vector databases, prompt engineering, and agentic frameworks.
  • Experience with frameworks such as LangChain, LlamaIndex, Haystack, Semantic Kernel, or similar.
  • Familiarity with open-source models such as Llama, Mistral, DeepSeek, Qwen, Falcon, or equivalent.
  • Expertise in MLOps/LLMOps lifecycle and governance, including prompt/version management, model evaluation, hallucination testing, tracing, monitoring, drift detection, feedback loops, quality metrics, and production support.
  • Strong understanding of Kubernetes, Docker, OpenShift, platform engineering, and distributed systems.
  • Experience with AI infrastructure including GPUs, model serving frameworks, inference optimization, and vector databases.
  • Knowledge of data platforms, data pipelines, and enterprise integration architectures.
  • Ability to design quantization, batching, GPU utilization, latency optimization, autoscaling, and high-availability inference.
  • Knowledge of GPU sizing, NVIDIA stack, CUDA, MIG, distributed inference/training, storage throughput, networking, capacity planning, workload scheduling, and infrastructure readiness assessment.
  • Knowledge of data isolation, zero-trust architecture, IAM/RBAC, encryption, secrets management, audit logging, secure model hosting, tenant isolation, data residency, and regulatory compliance.
  • Experience with RFPs, proposals, and estimations.
  • Strong stakeholder management and communication skills.

Responsibilities

  • Design, build, configure, deploy, and troubleshoot enterprise-grade private AI/GenAI platforms using open-source and self-hosted technologies.
  • Create high-level and low-level designs, platform blueprints, deployment patterns, and private AI reference architectures for on-premises, private cloud, hybrid, and sovereign AI environments.
  • Develop and implement LLM, RAG, and agentic AI solutions, including ingestion pipelines, vector databases, tool integrations, orchestration, and evaluation components for on-premises, private cloud, and hybrid deployments.
  • Build and operationalize AI platforms using Kubernetes, containerization, and modern platform engineering practices.
  • Implement MLOps/LLMOps frameworks for model training, deployment, monitoring, and governance.
  • Deploy, configure, and optimize self-hosted foundation models and enterprise AI workloads, including GPU utilization, quantization, batching, autoscaling, latency tuning, and production troubleshooting.
  • Develop reference architectures, accelerators, and reusable frameworks for private AI adoption.
  • Lead RFPs, proposals, and estimations for AI engagements.
  • Advise clients on AI strategy, platform modernization, infrastructure readiness, and AI operating models.
  • Collaborate with infrastructure, cloud, security, and data engineering teams to establish enterprise AI foundations.
  • Drive POCs, MVPs, and enterprise AI adoption initiatives.

Desired Qualifications

  • Experience with technologies such as MLflow, Kubeflow, KServe, Ray, vLLM, Ollama, or similar.
  • Experience building enterprise AI platforms from the ground up using open-source technologies.
  • Exposure to NVIDIA AI Enterprise, Red Hat OpenShift AI, VMware Private AI, or similar ecosystems.
  • Experience with air-gapped, sovereign, or highly regulated AI environments.
  • Exposure to Responsible AI and regulatory environments such as BFSI, Healthcare, or Government.

About the Company

NTT Data

Global IT services and consulting provider.

NTT DATA is a global IT and business services provider that helps organizations run and transform their technology and operations. It delivers consulting, industry solutions, cloud migration, cybersecurity, data analytics, and managed services to modernize systems and processes. It differentiates itself through its large scale, deep sector expertise in banking, healthcare, manufacturing, public sector, and automotive, and its broad ecosystem of partners with Microsoft, SAP, AWS, and Salesforce. Its goal is to help large enterprises digitally transform and optimize operations at scale using cloud-native approaches and secure IT environments.

Company size
10,001+
Company stage
IPO
Headquarters
Tokyo, Japan
Founded
1988

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