GenAI Architect

NTT
Plano
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningExperience: 5+ yearsSkills: ["Problem-solving","Critical thinking","Communication","Stakeholder alignment","Self-driven"]

Design, develop, and deploy AI/ML and Generative AI solutions, including prediction systems, recommendation engines, NLP text analytics, computer vision, and chatbot/content intelligence platforms. Build ML models with TensorFlow, PyTorch, Keras, spaCy, and scikit-learn; apply transformer and GAN techniques. Implement RAG using LangChain, LlamaIndex, and vector databases (FAISS/Milvus), integrate LLM APIs (Hugging Face, OpenAI, Vertex AI, AWS Bedrock), and deliver end-to-end AI pipelines through monitoring and collaboration with cross-functional teams.

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FursaFursa
NTT
NTT
1 month ago

GenAI Architect

✓ Verified Job

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Source: Company careers pageValidated by: Fursa AI
Last checked: 2 days agoStatus: Live

Job Summary

Design, develop, and deploy AI/ML and Generative AI solutions, including prediction systems, recommendation engines, NLP text analytics, computer vision, and chatbot/content intelligence platforms. Build ML models with TensorFlow, PyTorch, Keras, spaCy, and scikit-learn; apply transformer and GAN techniques. Implement RAG using LangChain, LlamaIndex, and vector databases (FAISS/Milvus), integrate LLM APIs (Hugging Face, OpenAI, Vertex AI, AWS Bedrock), and deliver end-to-end AI pipelines through monitoring and collaboration with cross-functional teams.
Location: Plano
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Design, develop, and implement AI/ML and GenAI solutions across domains such as prediction, recommendations, text analytics, computer vision, chatbots, and content intelligence.
  • •Build and deploy advanced ML models using TensorFlow, PyTorch, Keras, spaCy, and scikit-learn.
  • •Apply expertise in statistics, machine learning, NLP, and generative models, including GANs and transformers.
  • •Implement RAG solutions using LangChain, LlamaIndex, and vector databases (FAISS, Milvus) and integrate LLM APIs and registries (e.g., Hugging Face, OpenAI, Google Vertex AI, AWS Bedrock).
  • •Collaborate to build end-to-end AI pipelines from data ingestion to deployment and monitoring, and support GenAI prototypes/POCs for industry requirements.

Key Requirements

  • •5+ years using Python and related packages for ML and data science.
  • •3+ years architecting high-impact GenAI solutions, preferably for Private AI and smart agentic solutions.
  • •10+ years participating in projects focused on predictive analytics, data integrations, system design/architecture, AI/ML, and/or ML Ops.
  • •Strong understanding of LLM technologies, embedding models, cloud AI services, and AI/ML operations.
  • •Hands-on experience with cloud-based AI platforms, including Azure OpenAI, Google Vertex Gen AI, and AWS AI services.
Experience:5+ yearsGenerative AILLMsNLPMachine learningCloud AIPrivate AISmart agentsRAGRecommendation systemsPredictive analytics
Skills:Problem-solvingCritical thinkingCommunicationStakeholder alignmentSelf-driven
Tech Stack:PythonTensorFlowPyTorchKerasSpaCyScikit-learnGANsTransformersNLPRAGLangChainLlamaIndexFAISSMilvusHugging FaceOpenAIGoogle Vertex AIAWS BedrockAzure OpenAIFlask

Company Brief

NTT
Dimension Data, operating under NTT Ltd, provides managed IT services, cloud and data center solutions, networking, cybersecurity, and digital transformation services to enterprise customers worldwide.
Industry: Professional Services
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Established Company
Valuation: Public Company (Market Cap in USD)
Headquarters: London, United Kingdom
Founded: 1983
WebsiteLinkedIn