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AI Solutions Engineer

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NTT DATA

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Location:
Malaysia , Petaling Jaya

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

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Job Description:

The AI Solutions Engineer role at NTT DATA involves designing, developing, and deploying enterprise AI solutions with a focus on hands-on technical implementation. This role focuses primarily on building, integrating, and optimizing AI systems such as Retrieval-Augmented Generation (RAG) pipelines, AI assistants, document intelligence solutions, while working under the guidance of senior solution architects. This is an excellent opportunity for candidates looking to deepen practical experience in applied Generative AI within enterprise environments.

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 to candidates with varying experience levels, from junior to senior
  • 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
  • 5-10 years of experience

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

Additional Information:

Job Posted:
March 19, 2026

Employment Type:
Fulltime
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