3 months ago
Singapore, SingaporeSenior
Responsibilities
- Design secure, scalable, cost-efficient AI architectures and define technical standards, design patterns, guardrails, and architecture artifacts.
- Make build-versus-buy-versus-integrate decisions and evaluate platforms and vendors.
- Architect Azure, AWS, multi-cloud, and hybrid solutions that meet APAC data-sovereignty requirements.
- Design reliable, reproducible, access-controlled AI development and deployment environments and review cloud cost architecture.
- Govern AI and machine-learning environments, including experimentation, deployment, monitoring, operational support, model versioning, evaluation, and retraining triggers.
- Evaluate foundational models, fine-tuning approaches, RAG architectures, agentic workflows, and secure enterprise deployment patterns.
- Define regional AI platform strategy, shared services, reusable components, and integration patterns.
- Embed encryption, access controls, audit logging, security-by-design, privacy-by-design, data governance, and technical risk mitigation into architectures.
- Provide technical direction and guide team members on solution design, engineering standards, maintainability, and delivery quality.
Requirements
- Bachelor’s or Master’s degree in IT, Computer Science, Engineering, Data/AI, or equivalent experience.
- 8+ years of experience in solution, software, data, or enterprise architecture.
- Experience using data platforms, data lakes, lakehouses, or data warehouses for governed datasets supporting analytics, machine learning, and AI use cases.
- Proficiency in SQL and Python for data access, analysis, and preparation.
- Experience working with large datasets, data quality and governance standards, and business and technical stakeholders.
- Understanding of security-by-design, privacy-by-design, data governance, and access control.
- At least 2 years of experience providing technical leadership in collaborative or agile delivery environments.
- Proven experience sponsoring AI and IT initiatives, data-driven platforms, IT transformation, and automation at scale.
- Experience with business acumen, financial management, risk governance, and APAC multicultural environments.
- Preferred knowledge of RAG, model integration, agentic workflows, Microsoft Fabric, Databricks, Azure data services, MLOps, LLMOps, model lifecycle management, AI evaluation frameworks, API design, infrastructure-as-code, vector databases, semantic search, fine-tuning, generative AI evaluation, Power Platform, Copilot Studio, Azure AI Foundry, and relevant Azure, AI, Databricks, or AWS certifications.
Benefits
- 3-year fixed-term contract.
- Placement in Singapore.
- Open only to Singapore citizens and permanent residents.
- Applicants should submit their latest resume through Fugro’s Careers website or linked portals.
Categories
About Fugro
Fugro provides geo-data acquisition, analysis, and consulting to help clients design, build, and operate marine and land assets. Its services span geotechnical investigations, offshore surveys, subsea inspection, and geospatial mapping for energy (including offshore wind and oil and gas), infrastructure, and public-sector projects. Founded in 1962 and headquartered in Nootdorp, Netherlands, Fugro is a public company listed on Euronext Amsterdam.