NTT DATA - Charlotte, NC

posted 4 days ago

Full-time - Senior
Charlotte, NC
10,001+ employees
Professional, Scientific, and Technical Services

About the position

The Sr. AI Architect position at NTT DATA involves leading the design, development, and implementation of an advanced internal-facing assistant solution. The role requires a strong background in architecture and hands-on experience with AI-powered assistants, focusing on creating scalable and efficient solutions using cutting-edge technologies.

Responsibilities

  • Design and architect a scalable, secure, and efficient internal assistant solution using cutting-edge AI and natural language processing technologies.
  • Develop proof-of-concepts and prototypes to validate architectural decisions.
  • Lead the integration of the chatbot with internal systems, databases, and APIs.
  • Collaborate with cross-functional teams to gather requirements and ensure alignment with business objectives.
  • Implement best practices for AI model deployment, monitoring, and continuous improvement.
  • Provide technical leadership and mentorship to the development team.
  • Stay up to date with the latest advancements in AI, GenAI, and LLMs, incorporating innovative features into the chatbot architecture.

Requirements

  • 10+ years of experience in software development, with a focus on AI and machine learning.
  • 8+ years of experience in Google Cloud Platform.
  • Proven experience architecting and implementing internal-facing AI chatbot solutions like Glean or Rogo.
  • Strong hands-on experience with Python, LLMs, and Generative AI technologies.
  • Deep understanding of natural language processing, sentiment analysis, and text generation techniques.
  • Expertise in cloud platforms (AWS, Azure, or GCP) for AI model deployment and scaling.
  • Experience with MLOps practices and tools for model lifecycle management.
  • Strong problem-solving skills and ability to translate complex business requirements into technical solutions.
  • Excellent communication skills to explain technical concepts to both technical and non-technical stakeholders.
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