AI Architect

Job Description

Who we are

Do you want to join our Geo-data revolution Fugros global reach and unique know-how will put the world at your fingertips. Our love of exploration and technical expertise help us to provide our clients with invaluable insights. We source and make sense of the most relevant Geo-data for their needs so they can design build and operate their assets more safely sustainably and efficiently. But were always looking for new talent to take the next step with us. For bright minds who enjoy meaningful work and want to push our pioneering spirit further. For individuals who can take the initiative but work well within a team.

Job Summary:

The AI Architect is the technical authority responsible for designing secure scalable and cost-efficient AI architectures for APAC deployments. The role defines technical standards patterns and guardrails across models data pipelines APIs cloud infrastructure and security layers ensuring solutions align with global governance while meeting APAC data sovereignty and regulatory requirements. The role provides technical direction to the team supporting the design build maintenance and continuous improvement of advanced AI and automation solutions. You will design and maintain the architecture for the AI enabled Marine Ground Digital Twin Platform.

This is a 3-year fixed term contract for placement in Singapore and only open to SG/PR candidates.

Key Responsibilities:

Architecture Design & Standards

Design scalable secure and cost-efficient AI system architectures for regional deployments.

Define and enforce technical standards design patterns and architectural guardrails for the team.

Lead build vs buy vs integrate decisions evaluating platforms and vendors.

Produce architecture artefacts (solution designs data flows integration maps technical roadmaps).

Cloud & Infrastructure

Architect solutions across relevant cloud platforms (Azure AWS and compliant options as required).

Design for multi-cloud and hybrid environments where regulations demand.

Ensure infrastructure meets data sovereignty requirements across APAC countries.

Review cloud cost architecture to balance performance and spend.

Ensure AI development and deployment environments are designed for reliability reproducibility access control and operational support.

AI Platform & Model Strategy

Designs and governs AI and machine learning environments including patterns for experimentation deployment monitoring and operational support.

Evaluate and select foundational models fine-tuning approaches and RAG architectures appropriate to each use case.

Design MLOps and LLMOps pipelines (model versioning evaluation monitoring retraining triggers).

Define the regional AI platform strategy (shared services reusable components integration patterns).

Stay current on model developments and assess architectural implications for the roadmap.

Security & Governance

Embed security controls (encryption access controls audit logging) into all architectural decisions.

Align architecture to global governance standards and partner with security and risk stakeholders.

Conduct technical risk assessments for new AI initiatives and define mitigation architecture.

Requirements:

• Education: Bachelors or Masters degree (IT Computer Science Engineering Data/AI or equivalent experience)
• Working 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

Nice-to-have:

• 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
• Management experience: 2 years - Experience providing technical leadership in collaborative or agile delivery environments including guiding team members on solution design engineering standards maintainability and delivery quality.
• AI & IT expertise- Proven experience sponsoring AI & IT initiatives data driven platforms IT transformation and automation at scale.
• Other experience - Strong business acumen financial management risk governance and experience operating in APAC multicultural environments.

How to apply:

• Please include your latest resume in the application.
• We regret to inform this position is open only to SG/PR
• We regret to inform that we will only process applications made via our Careers website (and other linked portals) and only shortlisted applicants will be contacted.

Disclaimer for recruitment agencies:

Fugro does not accept any unsolicited applications from recruitment agencies. Acquisition to Fugro Recruitment or any Fugro employee is not appreciated.