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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