Chief AI Infrastructure Designer

5 days ago

Singapore beBeeArtificialIntelligence Full time $180,000 - $250,000
AI Architect Job Description

A visionary AI Architect will lead the strategy, design, and delivery of advanced AI-driven solutions to transform how infrastructure is designed and delivered.

Key Responsibilities:

  • Design robust, scalable AI/ML architectures, including model pipelines, data ingestion, and deployment frameworks tailored to infrastructure projects.
  • Define and drive the AI roadmap for infrastructure planning and design applications, aligning with digital delivery goals and client needs.
  • Guide the development and fine-tuning of AI models to ensure alignment with regulatory requirements and core engineering principles.
  • Develop robust scripts and scalable model training pipelines using Python.
  • Lead the integration of AI tools with existing engineering tools, ensuring seamless interoperability and user adoption.
  • Mentor AI engineers and collaborate with civil engineers, utility specialists, and GIS/BIM specialists to bridge domain knowledge with AI capabilities.
  • Establish best practices for model validation, versioning, explainability, and compliance with relevant engineering and data standards.
  • Evaluate and introduce emerging AI technologies applicable to geospatial and infrastructure challenges.

Requirements:

  • Bachelor's, Master's, or PhD in Computer Science, Data Science, Artificial Intelligence, or a related engineering discipline.
  • 8+ years of experience in AI/ML development, with at least 3 years in an AI/ML architectural or leadership role.
  • Proven experience in applying AI to solve real-world problems, preferably in domains such as spatial/geometric analysis, geospatial data, or engineering applications.
  • Proficiency in Python and ML/DL frameworks (e.g., PyTorch, TensorFlow, scikit-learn).
  • Strong understanding of data architecture, MLOps pipelines, cloud computing (Azure/GCP/AWS), and model governance practices.
  • Excellent communication and stakeholder engagement skills, with the ability to influence both technical and non-technical stakeholders.

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