Principal Architect - AI Engineering

Senior Architect – AI Engineering 

When our customers are looking for IT consulting expertise, where else would they turn but to the company driving human progress through technology? Our Solutions Architecture team within Professional Services are experts in package customization and integration as well as total, end-to-end solutions in targeted industry segments. After thorough consultation with our customers and careful analysis, we develop new IT systems or replace existing systems that support customers’ strategic, operational and financial goals. 

Join us to do the best work of your career and make a profound social impact as a Senior Architect – AI Engineering on our Solutions Architecture Team in Singapore.

 What you’ll achieve 

You will lead the design, development, and deployment of advanced AI systems across our organization. The ideal candidate will possess a deep understanding of machine learning, cloud infrastructure, model lifecycle management, and enterprise-grade AI system design.

You Will:

• Design and build end-to-end machine learning pipelines, from data ingestion to production deployment.
• Guide the adoption of best practices for AI development, testing, deployment, and maintenance, ensuring compliance with ethical standards and industry regulations
• Guide the development and deployment of machine learning models into production environments using modern MLOps practices.
• Optimize model performance and infrastructure for scale, cost, and latency.
• Evaluate new AI tools and frameworks and contribute to technical decision-making and roadmap planning

Essential Requirements

• Bachelor’s or Master’s degree in Computer Science, AI, or a related field; a Ph.D. is a plus 
• 5+ years of experience in software engineering, with 3+ years focused on AI/ML projects in production environments.
• Proven experience with cloud services (AWS, GCP, Azure), containers (Docker, Kubernetes), and APIs.

• Proficiency in programming languages such as Python, R, or Java, and experience with AI frameworks like HuggingFace, LlamaIndex, Langchain, TensorFlow, PyTorch, or Keras

   

Desirable Requirements

• Familiarity with LLMs, GenAI, or RAG architectures.
• Experience with distributed training or data processing (e.g., Spark, Dask).
• Exposure to AI ethics, model fairness, or responsible AI practices