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NTT DATA Logo NTT DATA · IT - Software Development

AI Solutions Engineer Specialist

Malaysia, Selangor Darul Ehsan · Job Posted March 18, 2026
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Job Description

The AI Solutions Engineer will play a crucial role in designing and deploying enterprise AI solutions, focusing on hands-on implementation. Candidates should have a strong background in Python and AI frameworks, with at least 5 years of experience. The role involves building AI applications, optimizing performance, and collaborating with senior engineers. This is a hybrid position with opportunities for growth in a leading technology company.

Job Responsibility

  • Build and maintain AI applications including: RAG pipelines and knowledge assistants
  • LLM integrations and prompt workflows
  • Agentic AI bots
  • Develop APIs, backend services, and integrations supporting AI solutions
  • Assist in optimizing model performance, inference latency, and system reliability
  • Prepare datasets for AI use cases including cleaning, structuring, and preprocessing
  • Manage vector databases, embeddings, and retrieval optimization
  • Support automation of data ingestion workflows
  • Assist with deploying AI solutions across development, staging, and production environments
  • Monitor performance, troubleshoot issues, and optimize resource utilization
  • Support infrastructure setup (GPU inference environments, containers, cloud/on-prem deployments)
  • Work closely with solution architects and senior engineers
  • Support POC development, demos, and technical validation activities
  • Contribute to internal documentation and knowledge sharing

Requirements

  • Minimum 5–10 years of relevant experience
  • Practical experience with: Python development (essential)
  • AI/ML frameworks or LLM integrations
  • APIs, backend development, or automation scripting
  • Familiarity with: Vector databases or semantic search concepts
  • Data processing and document parsing workflows
  • Containerization (Docker) or deployment environments
  • Understanding of Generative AI concepts (LLMs, embeddings, RAG basics)
  • Basic database knowledge (SQL/NoSQL)
  • Familiarity with Git-based development workflows

Nice to have

  • Experience working on AI assistants, chatbots, or document AI projects
  • Exposure to GPU-based inference environments
  • Knowledge of cloud platforms or hybrid AI deployments
  • Experience with performance tuning or scaling AI systems
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