AI Architect
On-siteSingapore, Singapore
Job Summary
Design scalable, secure, and cost-efficient AI architectures for APAC deployments, defining technical standards, patterns, and guardrails across models, data pipelines, and cloud infrastructure. Lead build vs buy decisions, produce architecture artefacts, and ensure solutions align with global governance and APAC data sovereignty requirements. Architect solutions on Azure, AWS, and compliant platforms, designing for multi-cloud environments and operational reliability. Govern AI and machine learning environments, including MLOps and LLMOps pipelines, while embedding security controls and conducting technical risk assessments. This 3-year fixed term contract requires a Bachelor's or Master's degree and 8+ years of enterprise architecture experience.
Required Qualifications
- Bachelor's or Master's degree (IT, Computer Science, Engineering, Data/AI, or equivalent experience)
- 8+ years - Experience in solution, software, data or enterprise architecture
- Experience using data platforms, data lakes, lakehouses, or data warehouses to discover, analyse, and prepare governed datasets for advanced analytics, machine learning, and AI use cases
- Proficiency in SQL and Python for data access, analysis, and preparation
- Ability to work effectively with large datasets, apply data quality and governance standards, and collaborate with business and technical stakeholders to translate business challenges into data-driven solutions
- Understanding of security-by-design, privacy-by-design, data governance, and access control
- Experience providing technical leadership in collaborative or agile delivery environments, including guiding team members on solution design, engineering standards, maintainability and delivery quality
- Proven experience sponsoring AI & IT initiatives, data driven platforms, IT transformation, and automation at scale
- Strong business acumen, financial management, risk governance, and experience operating in APAC multicultural environments
- This is a 3-year fixed term contract for placement in Singapore, and only open to SG/PR candidates
Desired Qualifications
- Understanding of AI solution patterns; RAG, model integration, agentic workflows, and secure enterprise deployment
- Microsoft Fabric, Databricks, Azure data services or comparable lakehouse/data platforms
- MLOps, LLMOps, model lifecycle management or AI evaluation frameworks
- API design, DevOps or infrastructure-as-code
- Vector databases, semantic search, fine-tuning or generative AI evaluation
- Power Platform, Copilot Studio, Azure AI Foundry or related Microsoft AI service
- Relevant certifications in Azure, AI, Databricks, or AWS
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