AI Solutions Engineer

TRIIIO Recruitment; Kuala Lumpur; Hybrid; MYR 112,000 - 179,000; Full time

Benefits offered by this job

Hybrid work model

Global exposure

Job summary

TRIIIO Recruitment partners with a global consultancy to establish a brand-new Digital Solutions Team in Kuala Lumpur. You will design, build, and deploy AI-powered solutions that drive measurable business impact.

collaborating with Data Engineers and stakeholders across time zones to shape the AI stack, from Copilot assistants to custom models, and ensure secure, scalable deployments on Azure.

Qualifications

• Minimum 5 years in AI, ML, or digital solution design, development and deployment in production environments.
• Strong hands-on expertise in Azure AI services and Copilot Studio development.
• Fluent in Python, RESTful APIs, webhooks, and identity management.

Responsibilities

• Design and implement AI solutions using Microsoft Azure AI, Copilot, and Power Platform.
• Build and maintain AI infrastructure for scalability and cost-optimisation on Azure.
• Monitor performance and ensure secure data flow across enterprise systems.

Skills

Python

Azure AI Services

Copilot Studio

Azure OpenAI

Data collaboration

Education

Bachelor’s degree in Computer Science or related

Tools

Azure Machine Learning

Microsoft Entra ID

Job description

Location: Jalan Ampang, Kuala Lumpur (Hybrid/On-Site | Global collaboration with occasional late meetings across time zones)

Salary Package: Competitive Monthly Basic + Performance Bonus

About the Role

Our client is a global consultancy providing marine, engineering, and technical services across maritime, oil & gas, and renewable energy sectors. Headquartered in Norway with offices worldwide, they are undergoing a major digital transformation and building a brand-new Digital Solutions Team in Kuala Lumpur to drive innovation and operational excellence.

This is a greenfield opportunity. You will be one of the first hires in the AI and Data team, with the freedom to shape the technology stack and define how AI solutions are built and deployed across the organisation.

We are seeking an experienced AI Solutions Engineer to design, build, and deploy AI-powered solutions that drive measurable business impact. Working alongside Data Engineers, Automation Engineers, and business stakeholders globally, you will turn business problems into AI-powered solutions, from Copilot assistants and conversational agents to custom models.

Key Responsibilities

• AI Solution Design & Implementation: Design and implement AI solutions using Microsoft Azure AI, Copilot, and Power Platform to streamline business processes and create commercial impact.
• AI Infrastructure: Build and maintain AI infrastructure in line with industry best practices, ensuring scalability, reliability, and cost optimisation across Azure and related platforms.
• FinOps & Cost Optimisation: Apply FinOps principles to AI workloads, monitoring model usage, token consumption, and infrastructure spend; setting budgets, alerts, and showback per team; continuously optimising for cost without compromising performance or reliability.
• Conversational & Task-Based Agents: Build and manage conversational and task-based agents using Microsoft Copilot Studio, Azure AI, and Azure Bot Services.
• Model Development & Integration: Develop, integrate, and monitor AI/ML models and algorithms; manage prompt engineering and responsible-AI guardrails.
• Enterprise Integration: Integrate AI solutions into existing infrastructure and business systems, ensuring secure data flow and seamless workflows.
• Security & Compliance: Ensure all solutions comply with relevant data security and privacy regulations.
• Performance Monitoring: Monitor the performance of deployed solutions and optimise for efficiency and effectiveness.
• Data Collaboration: Work with the Data team to ensure AI solutions are built on clean, well-structured, and governed data.
• Innovation: Stay current with AI trends and technologies to drive innovation.

Key Requirements

• Experience: Minimum 5 years of experience in AI, machine learning, or digital solution design, development, and deployment in production environments.
• Microsoft AI Stack: Strong hands-on expertise in Azure AI services (Azure OpenAI, Cognitive Services, Azure Machine Learning) and Microsoft 365 Copilot / Copilot Studio development. (Candidates with strong AWS Bedrock/SageMaker or GCP Vertex AI experience who are willing to pivot to Azure are also encouraged to apply).
• Technical Proficiency: Fluent in Python, RESTful APIs, webhooks, and identity management via Microsoft Entra ID.
• AI Engineering Depth: Deep understanding of prompt engineering, model selection, context management, and AI security guardrails.
• FinOps Acumen: Practical experience or strong understanding of monitoring token usage, model tiering, and managing cloud spend.
• Greenfield Mindset: Comfortable with ambiguity, high personal accountability, and building systems from scratch without waiting for rigid specifications.
• Education & Certifications: Bachelor’s degree in Computer Science, IT, AI, or a related field. Microsoft certifications (AI-900, AI-102, DP-100) or AWS AI/ML certifications are advantageous.

What We Offer

• Founding Team Autonomy: Be one of the first technical hires in a brand-new hub, with the freedom to shape the AI strategy and architecture from ground zero.
• High Strategic Visibility: Direct executive backing and board-level funding with direct reporting lines to UK Group Leadership.
• Global Exposure: Deliver solutions with group-wide impact across international energy, maritime, and engineering sectors.
• Agile & Empowering Culture: Join a flexible, trust-based environment where leaders empower engineers to figure out how to solve problems