Business Strategy Consultant

Raydian Cloud; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Raydian Cloud in Singapore is seeking an AI Solutions Architect to design scalable AI systems for enterprise clients, guiding architecture and integration across cloud platforms.

You will lead end-to-end deployments on AWS, Azure, GCP and on-premise, ensuring performance, data sovereignty and regulatory alignment.

Join a team that collaborates with partners and stakeholders to deliver transformative outcomes.

Qualifications

• 5+ years designing AI/ML systems for enterprise or government use.
• Experience with AWS/Azure/GCP and on-premise deployments.
• Expertise in containerization, Kubernetes, and GPU/AI infra.
• Strong grasp of regulatory constraints and data sovereignty.
• Excellent communication for executive stakeholders.

Responsibilities

• Design end-to-end AI/ML architectures for enterprise clients.
• Collaborate with engineering, operations and partners to deploy cloud AI infra.
• Define reference architectures and governance for regulated industries.
• Lead workshops, communicate roadmaps, support pre-sales and post-deploy.

Skills

AI/ML architecture

Cloud platforms (AWS/Azure/GCP)

Containerization & Kubernetes

GPU/AI infrastructure

Regulatory & compliance translation

Executive communication

Job description

Employment Type: Full Time

Location Type: All type

Overview

About the Role:

As an AI Solutions Architect at Raydian Cloud, you will design and implement scalable AI solutions for our enterprise clients. You’ll lead architecture design, integrate cloud platforms, and drive transformative outcomes that align technology with business goals.

Key Responsibilities:

• Architect end-to-end AI/ML systems for enterprise and government clients, ensuring performance, scalability and data sovereignty.
• Collaborate with engineering, operations and partner teams (e.g., NVIDIA, Rafay Systems) to integrate cloud/AI infrastructure across AWS, Azure, GCP and on-premise.
• Define best practices, reference architectures and governance frameworks for AI deployments in regulated industries (healthcare, finance, telecom).
• Lead client workshops, present solution roadmaps, support pre-sales and post-deployment phases.

Required Skills & Experience:

• 5+ years experience in AI/ML system design, architecture or consultancy.
• Proven expertise with cloud platforms (AWS, Azure, GCP), containerization, Kubernetes, GPU/AI infrastructures.
• Strong understanding of business drivers, regulatory/compliance constraints and how to translate them into technical solutions.
• Excellent communication and presentation skills, ability to engage with executive stakeholders.