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Lead AI Solutions Architect (AI, Azure, Kubernetes, Opensource)

Randstad

Singapore

On-site

SGD 80,000 - 100,000

Full time

Today
Be an early applicant

Job summary

A well-known telecommunications company in Singapore is seeking an experienced AI Developer to develop AI-driven systems and collaborate on AI infrastructure projects. Candidates should have a Bachelor's degree in computer science, at least 5 years of experience in Azure solutions, and skills in API integration and container orchestration. This role offers a base salary plus bonuses and requires working five days in the office.

Qualifications

  • Bachelor degree in computer science, or a related field.
  • Minimum 5 years of relevant working experience.
  • Experience in implementing solutions on Microsoft Azure.

Responsibilities

  • Develop AI-driven systems tailored for enterprise use.
  • Collaborate with a senior architect to build AI infrastructure.
  • Connect AI capabilities with enterprise applications through APIs.

Skills

AI-driven systems development
API integration
Machine learning pipeline development
Containerized infrastructure design
Cloud infrastructure (Azure)

Education

Bachelor degree in computer science or related field

Tools

Microsoft Azure
Kubernetes
Job description
About Company

I am currently working with a well-known telecommunications company in Singapore.

Salary structure: base + bonus. 5 days in office. 2 rounds of interview.

About Job

Please reach out for more detailed JD

  • Help in developing AI-driven systems tailored for enterprise use, encompassing data pipeline creation, workflow automation through APIs, and deployment of models in Azure cloud environments.
  • Collaborate with a senior architect to build and integrate essential elements of the AI infrastructure, including environments for model execution, component registries, and interoperability tools.
  • Assist in connecting AI capabilities with enterprise applications through API integrations, utilizing both RESTful interfaces and event-based communication strategies.
  • Take part in building, validating, and refining machine learning pipelines on cloud AI platforms such as Azure ML, AWS SageMaker, Bedrock, or AI Foundry.
  • Assess and identify suitable AI platforms and technologies—such as Azure ML, AI Foundry, Databricks, or open-source frameworks—by aligning their capabilities with organizational objectives and technical requirements.
Skills and Requirements
  • Bachelor degree in computer science, or a related field
  • Min 5 years of relevant working experience.
  • Experienced in implementing solutions on Microsoft Azure
  • Skilled in designing and architecting AI platforms on Azure, leveraging both Azure’s technology stack and open-source tools
  • Proficient in designing and implementing containerized infrastructure using Kubernetes

To apply online please use the 'apply' function, alternatively you may contact Stella at 96554170 (EA: 94C3609 /R1875382)

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