AI Engineering Strategist

2 weeks ago

Singapore beBeeArtificial Full time $150,000 - $200,000
Job Title

We are seeking a visionary and technically accomplished AI Architect to lead the strategy, design, and delivery of advanced AI-driven solutions. This senior role is a unique opportunity for a passionate technologist to apply artificial intelligence, particularly large language models (LLMs) and machine learning (ML), to solve complex challenges in the built environment.

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.

The ideal candidate will have a strong understanding of data architecture, MLOps pipelines, cloud computing, and model governance practices, as well as excellent communication and stakeholder engagement skills.

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.

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