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NTT DATA Logo NTT DATA · IT - Software Development

Senior AI Solution Architect - Specialist Advisor

India, Bangalore · Job Posted January 26, 2026
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Job Description

The Senior AI Solution Architect will architect and deploy GenAI applications using Azure, AWS, or GCP, leveraging advanced technologies to build intelligent systems. The role requires 6-8 years of hands-on AI/ML experience, with a focus on generative AI and LLM integration. Candidates should possess strong skills in Python, NLP, and ML frameworks, along with a bachelor's degree in Computer Science or Engineering. The position offers opportunities for mentorship and collaboration in a dynamic environment.

Job Responsibility

  • Architect and deploy GenAI applications using Azure, AWS, or GCP
  • Leverage cutting-edge LLMs, Microsoft Semantic Kernel, and AutoGen to build intelligent single-agent and multi-agent systems for real-world business impact
  • Collaborate with product, business, engineering, and data teams to solve enterprise challenges with scalable AI
  • Lead technical execution, mentor engineering talent, and champion best practices in MLOps, CI/CD, and cloud AI
  • Rapidly prototype solutions—think conversational orchestration, multimodal agents, RAG, and deep learning
  • Deliver production-grade, compliant AI models using tools like AI Foundry and advanced frameworks
  • Own documentation, process improvement, and innovation across the AI product lifecycle

Requirements

  • 6–8 years in hands-on AI/ML
  • 3+ years in generative AI and LLM integration (OpenAI, HuggingFace, Anthropic)
  • Deep Python, NLP, and ML framework experience (TensorFlow, PyTorch, LangChain)
  • Proven cloud deployment (Azure/AWS/GCP)
  • Strong ML system architecture skills
  • Experience designing and orchestrating agentic AI (single/multi-agent) workflows
  • Practical knowledge of AutoGen and Semantic Kernel
  • Familiarity with Microsoft AI Foundry for model governance and lifecycle management
  • Advanced problem-solving, communication, and collaboration skills
  • Bachelor's degree in Computer Science or Engineering

Nice to have

  • Prior team leadership or mentoring in product-driven AI environments
  • Experience with GPU/CUDA optimization and scalable deep learning
  • Passion for ethical AI, compliance, and industry best practices
  • Thought leadership—team mentoring, patents, publications, or conference presentations a plus
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