SalaryPeak

Senior/Lead AI Solutions Architect (AI + Opensource)

RANDSTAD PTE. LIMITED
Singapore 5+ years Posted Jan 9, 2026

Salary Range

SGD 120,000 - SGD 216,000 /year

SGD 10,000 - SGD 18,000/month

Apply on MyCareersFuture

Skills Required

Machine LearningMicrosoft Azureopensource technologyKubernetesAzurePipelinesArchitectSageMakerArtificial IntelligenceArtificial neural networkArtificial Neural NetworksArtificial Intelligence ApplicationAPI

Job Description

about company

I am currently working with a leader in emerging technologies.

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

about job (please reach out for more detailed JD)

  • Lead the architectural design and deployment of enterprise-grade AI solutions, focusing on scalable data pipelines and cloud-native model environments.
  • Oversee the integration of AI components including model registries, runtime systems, and specialized toolsets into existing business platforms.
  • Design and manage complex API ecosystems using both RESTful and event-driven patterns to ensure seamless service delivery.
  • Direct the development and testing of machine learning workflows across major cloud platforms like Azure and AWS.
  • Conduct technical evaluations and build proof-of-concepts for emerging technologies to ensure they align with organizational architecture standards.
  • Work alongside cross-functional engineering, MLOps, and data teams to govern the full AI lifecycle from ingestion to secure operations.

skills and requirements

  • Degree in Computer Science, AI/ML, or a related technical field with over 3 years of experience in AI platform integration and solution architecture.
  • Proven expertise in designing end-to-end workflows including model orchestration and serving APIs within hybrid cloud environments.
  • Advanced hands-on experience with cloud AI services such as Azure ML, AI Foundry, AWS SageMaker, and Bedrock.
  • Deep technical knowledge of AI frameworks and orchestration tools including LangChain, LangGraph, GraphRAG, MLflow, and Kubeflow.
  • Strong background in Retrieval-Augmented Generation (RAG) and managing the deployment, monitoring, and scaling of models.

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