AI Engineer

MORGAN MCKINLEY PTE. LTD.; Singapore; On-site; SGD 80,000 - 120,000; Full time

Job summary

A leading technology consultancy in Singapore is seeking a Senior AI Engineer to lead the design and development of enterprise-grade AI solutions across multi-cloud environments, focusing on Microsoft Azure and AWS. The ideal candidate will have over 5 years of experience in AI/ML architecture, governance, and strong proficiency in Microsoft technologies. This role offers the opportunity to innovate at the intersection of AI and cloud engineering.

Qualifications

• 5+ years of experience in AI/ML architecture and development.
• Strong foundation in machine learning and experience with deep learning frameworks.
• Experience with MLOps and model lifecycle practices.

Responsibilities

• Design and deliver enterprise-grade AI/ML solutions across multi-cloud.
• Define and enforce AI governance frameworks.
• Lead development and operationalization of AI solutions.

Skills

AI/ML architecture

Cloud engineering

Data engineering

MLOps

Stakeholder management

Python

Microsoft technologies

Education

Bachelor's Degree in IT/Computer Science

Tools

Azure Machine Learning

AWS services

Microsoft Power Platform

C#/.NET

Visual Studio

Job description

Overview

Job Title : Senior AI Engineer

Job Summary

We are hiring a skilled AI Engineer with minimum 5+ years who leads the design, development, and governance of enterprise-grade AI solutions across multi-cloud environments, including Microsoft Azure and AWS. This role demands deep expertise in Microsoft technologies, strong proficiency in AI/ML frameworks, and hands-on experience in data engineering, MLOps, and scalable architecture design. This role is ideal for someone who thrives at the intersection of AI innovation, cloud engineering, and enterprise strategy.

Job Description

• Design and deliver enterprise-grade AI/ML solutions across multi-cloud environments (Azure, AWS), ensuring scalability, security, performance, and seamless integration with existing technology ecosystems.
• Define and enforce comprehensive AI governance frameworks addressing compliance (e.g., GDPR, EU AI Act), model risk, ethics, transparency, and explainability.
• Serve as a trusted advisor to business and technology leaders on AI strategy, emerging trends, and the long-term impact of AI on enterprise processes, platforms, and decision-making.
• Lead end-to-end development and operationalization of AI solutions, including data exploration, model development, training, validation, deployment, and lifecycle management.
• Own and manage production operations of AI systems—covering monitoring, incident management, CI/CD pipelines, and release/change controls.
• Assess and evaluate change requests, effort, and impact across business functions, technology platforms, and governance controls to ensure strategic alignment and risk mitigation.
• Drive continuous improvement in model performance, system reliability, and AI delivery processes through rigorous testing, automation, and adherence to engineering best practices.
• Partner with cross-functional teams (data engineering, application development, infrastructure, business units) to translate complex business challenges into actionable AI driven solutions.
• Champion a culture of technical excellence and knowledge sharing by mentoring peers, reviewing code and architecture, and contributing to internal AI communities of practice.

Job Requirements:

• Bachelor’s Degree in IT/Computer Science or related discipline.
• Minimum 5+ years of experience in both AI/ML architecture and hands-on machine learning development.
• Strong foundation in machine learning and familiarity with deep learning techniques and frameworks.
• Experience with MLOps and model lifecycle practices (training pipelines, monitoring, retraining, and CI/CD for ML).
• In-depth understanding of AI governance and responsible AI practices, including bias detection, model explainability, and alignment with global regulatory standards.
• Able to design and scale AI solutions using cloud-native services across Azure (Azure Machine Learning, Azure OpenAI, Cognitive Services) and AWS.
• Experience in Python and its ML ecosystem, integrating models into enterprise environments using APIs, containers, or microservices architectures.
• Proficient in Microsoft Power Platform components (e.g., Copilot Studio, Power Apps, Power Automate, Power BI, Dataverse) for embedding AI into low-code/no-code environments.
• Experience working with Microsoft development tools and stacks: Visual Studio, C#/.NET, JavaScript/TypeScript, SQL Server.
• Relevant certifications in Azure or AWS AI/ML tracks are strongly preferred.
• Strong communication and stakeholder management skills, with the ability to translate complex AI concepts into clear business insights and actionable roadmaps.
• Highly self-driven and accountable, with a demonstrated ability to lead in fast-paced, matrixed enterprise environments.

Application Instructions

Interested candidates may apply through the application system or send it to [e-mail]. Shortlisted candidates will be notified.

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to Morgan Mckinley Pte Ltd and its affiliates to collect, use and disclose your personal data for the purposes set out in the Privacy Policy available at https://www.morganmckinley.com/sg/privacy-policy. You acknowledge that you have read, understood, and agree with the Privacy Policy.

Morgan McKinley Pte Ltd
Dinu Dinesh

EA License No: 11C5502

EAP Registration No: R22110286