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Junior AI Solution Architect (GC/SW)

ST EngineeringSeletar, North East Community Development Council, SingaporePosted 19 May 2026

ST Engineering is seeking an AI Solution Architect to lead the design and deployment of Agentic AI applications across its enterprise. The role involves architecting RAG-based systems, managing MLOps pipelines, and collaborating with cross-functional teams. Candidates must be proficient in Python or Java and have deep experience with LLMs and AI frameworks like LangChain. This role serves as a bridge between technical implementation and business strategy in an industrial-scale setting.

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Experience

Experience not specified

Function

Engineering

Work mode

Onsite, Singapore

Company

Tier 2

What you will work on

ST Engineering is seeking an AI Solution Architect to lead the design and deployment of Agentic AI applications across its enterprise. The role involves architecting RAG-based systems, managing MLOps pipelines, and collaborating with cross-functional teams. Candidates must be proficient in Python or Java and have deep experience with LLMs and AI frameworks like LangChain. This role serves as a bridge between technical implementation and business strategy in an industrial-scale setting.

TAL's take

Quality 60/1005/5 clarityTier 2 company

Solid role scope in an enterprise environment, though the 'Junior' title prefix creates ambiguity given the high-level architect responsibilities.

Well-defined responsibilities, clear stack requirements, and specific domain focus on Agentic AI.

Must haves

  • Bachelor’s or master’s degree in CS, AI, or Data Science
  • Proven experience architecting enterprise-scale Agentic AI solutions
  • Expertise in LLMs, prompt engineering, and RAG
  • Expertise in MLOps and model lifecycle management
  • Experience with LangChain, CrewAI, or AutoGen
  • Excellent programming skills in Python or Java
  • Hands-on exposure to AWS, Azure, or GCP

Tools and skills

llmsmultimodal modelsprompt engineeringragmlopslangchaincrewaiautogenpythonjavaawsazuregcp

Nice to have: enterprise data platforms, apis, systems integration, data science, machine learning model development.

About the company

Large-scale engineering firm, but lacks the specific global tech-brand recognition of Tier 1 AI leaders.

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