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NTT DATA Logo NTT DATA · IT - Software Development

Associate AI Solutions Engineer

Malaysia, Selangor Darul Ehsan · Job Posted March 22, 2026
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Job Description

The AI Solutions Engineer role at NTT DATA focuses on designing and deploying enterprise AI solutions, emphasizing hands-on technical implementation. Candidates will work with technologies like Python, AI frameworks, and APIs, while collaborating with senior engineers. This position offers growth opportunities towards AI Solutions Architect and Senior AI Solutions Engineer roles. Ideal for fresh graduates eager to learn and innovate in AI.

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

  • Open for fresh graduates
  • 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
  • Strong technical curiosity and willingness to learn
  • Builder mindset and enjoys hands-on implementation
  • Detail-oriented and structured in approach
  • Ability to work independently with technical guidance
  • Practical problem-solving attitude

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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