Senior Solutions Architect- AI/ML

a Snaphunt Client; Kuala Lumpur; On-site; MYR 180,000 - 250,000; Full time

Job summary

A global technology leader in Kuala Lumpur is seeking a Senior Solutions Architect (AI/ML) to design and implement machine learning solutions in the cloud. This role requires 8–12 years of IT experience, with strong skills in AI/ML architecture and cloud solutions. You will collaborate with cross-functional teams and mentor others in optimizing AI initiatives. Competitive compensation and a chance to work on impactful AI projects are offered.

Benefits

Competitive compensation

Career growth opportunities

Collaboration with experts

Qualifications

• 8–12 years of experience in enterprise IT; 5 years in AI/ML solution architecture.
• Experience in cloud-based solutions and networking.
• Strong communication skills and stakeholder engagement.

Responsibilities

• Design and implement architectures for AI/ML workloads.
• Collaborate with data science and engineering teams.
• Mentor teams on optimizing AI solutions.

Skills

AI/ML solution architecture

Cloud-based solutions

Coding and scripting languages

Machine learning frameworks

Data pipeline management

Stakeholder engagement

Tools

TensorFlow

PyTorch

SQL

Job description

Overview

Our client is a global technology leader driving large-scale digital transformation for enterprises worldwide. Their platforms support millions of users and power cutting-edge innovations in cloud, data, and AI. They are expanding their specialist architecture team to help customers unlock the full potential of AI/ML at scale.

The Role

As a Senior Solutions Architect (AI/ML), you will partner with enterprise customers to design, implement, and scale machine learning and generative AI solutions in the cloud. You will be a trusted advisor, guiding organizations on how to build secure, high-performance, and cost-efficient AI platforms that accelerate business outcomes.

Key Responsibilities

• Design and implement end-to-end architectures for AI/ML workloads, including data ingestion, model training, deployment, and monitoring.
• Advise on scalable infrastructure for generative AI, foundation models, and data-driven applications.
• Collaborate with data science, product, and engineering teams to accelerate AI adoption across industries.
• Deliver workshops, proof-of-concepts, and executive briefings to showcase AI/ML best practices.
• Support enterprise migrations of AI/ML pipelines from on-premises or legacy systems to the cloud.
• Drive conversations on security, compliance, and responsible AI in large-scale environments.
• Mentor engineering and data teams, helping them operationalize and optimize AI solutions.

Ideal Profile

• You have 8–12 years of experience in enterprise IT, with at least 5 years in AI/ML solution architecture or related fields.
• You also have 8+ years of experience in cloud-based solutions, systems, networking, and operating environments, along with strong hands-on expertise in coding, data querying languages (e.g., SQL), and scripting languages (e.g., Python).
• Strong understanding of machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) and MLOps practices.
• Hands-on expertise in data pipelines, feature engineering, model deployment, and monitoring at scale.
• Solid background in distributed systems, high-availability design, and cloud-native architectures.
• Experience with generative AI models, LLMs, and integration into enterprise applications is a strong plus.
• Strong communication and stakeholder engagement skills; able to influence both executives and technical teams.
• Curiosity and a continuous learning mindset to stay ahead in the fast-evolving AI/ML landscape.

What\'s on Offer?

• Work with a global tech giant on some of the most impactful AI/ML adoption journeys in the industry
• Shape enterprise AI strategy across multiple sectors, from concept to real-world scale
• Collaborate with world-class experts and cutting-edge technologies
• Competitive compensation, high visibility, and career growth in a fast-evolving space