AI Engineer (Enterprise Automation)

EVOLUTION RECRUITMENT SOLUTIONS PTE. LTD.; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Evolution Recruitment Solutions Pte. Ltd. is seeking an experienced AI and Machine Learning Engineer to design and deliver intelligent automation solutions that enhance enterprise operations across functions.

The role combines AI engineering, ML, and data analytics to build scalable AI-powered applications that improve decision-making and streamline workflows. You will collaborate with business stakeholders, analytics teams and technical specialists to deploy AI solutions using cloud and

Qualifications

• Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence or related discipline.
• At least four years of experience in AI engineering, machine learning, data engineering or intelligent automation.
• Strong programming skills in Python and SQL.
• Hands-on experience with Microsoft Power Platform, including Power Automate, Power Apps, Copilot Studio or related technologies.
• Experience building machine learning models including regression, classification, clustering, anomaly detection and time-series forecasting.
• Familiarity with Microsoft Azure, including Azure AI services and Azure ML.
• Understanding of large language models, retrieval-augmented generation, prompt engineering and AI agent development is desirable.
• Experience working with structured enterprise data and semi-structured data such as documents or system logs.
• Strong communication skills with ability to explain technical concepts to both technical and non-technical stakeholders.
• Experience supporting Finance, HR, Shared Services or other enterprise business functions would be an advantage.

Responsibilities

• Design, develop and deploy AI-powered agents to automate business processes and operational workflows.
• Integrate AI solutions with enterprise applications and business platforms via APIs and workflow tools.
• Build monitoring and observability to measure AI agent performance and usage.
• Develop knowledge-aware AI solutions using retrieval-augmented generation and prompt orchestration.
• Ensure AI solutions follow security, governance, version control and audit requirements.
• Analyse datasets to identify trends and automation opportunities.
• Build and evaluate ML models for anomaly detection, forecasting and risk assessment.
• Deploy ML models into BI platforms or AI apps using cloud services or Python-based solutions.
• Partner with analytics teams to convert model outputs into dashboards and insights.
• Monitor performance and optimise AI models through data-driven evaluation.
• Translate operational requirements into AI models and automation workflows.
• Collaborate with data teams to ensure high-quality, governed data.
• Maintain technical documentation for AI models, pipelines, prompts and deployment processes.

Skills

Python

SQL

AI/ML engineering

Data analytics

Power Platform

Cloud platforms (Azure)

Communication skills

API integration

Version control

Documentation

Education

Bachelor's degree in CS/Data Science/AI

Master's degree preferred

Tools

Power Automate

Power Apps

Copilot Studio

Azure AI services

Azure Machine Learning

Job description

About the Role

We are looking for an experienced AI and Machine Learning Engineer to develop intelligent automation solutions that improve business operations across enterprise functions. This role combines AI engineering, machine learning and data analytics to build scalable AI-powered applications that enhance decision-making and streamline workflows.

You will collaborate with business stakeholders, analytics teams and technical specialists to design, deploy and continuously improve AI solutions using modern cloud and automation technologies.

Key Responsibilities

• Design, develop and deploy AI-powered agents to automate business processes and operational workflows.
• Integrate AI solutions with enterprise applications and business platforms through APIs, workflow automation tools and system connectors.
• Build monitoring and observability capabilities to measure AI agent performance, usage and operational effectiveness.
• Develop knowledge-aware AI solutions using techniques such as retrieval-augmented generation, prompt orchestration and contextual reasoning where appropriate.
• Ensure AI solutions follow security, governance, version control and audit requirements throughout the deployment lifecycle.
• Analyse business and operational datasets to identify trends, optimisation opportunities and automation use cases.
• Build and evaluate machine learning models for use cases such as anomaly detection, forecasting, predictive analytics and risk assessment.
• Deploy machine learning models into business intelligence platforms or AI applications using cloud-based machine learning services or Python-based solutions.
• Partner with analytics teams to convert model outputs into dashboards, reports and actionable business insights.
• Monitor solution performance, measure business impact and continuously optimise AI models through data-driven evaluation.
• Work closely with business analysts and domain experts to translate operational requirements into AI models and automation workflows.
• Collaborate with data teams to ensure high-quality, reliable and well-governed data for AI initiatives.
• Maintain clear technical documentation for AI models, pipelines, prompts and deployment processes to support governance and ongoing maintenance.

Requirements

• Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence or a related discipline.
• At least four years of experience in AI engineering, machine learning, data engineering or intelligent automation.
• Strong programming skills in Python and SQL.
• Hands-on experience with Microsoft Power Platform, including Power Automate, Power Apps, Copilot Studio or related technologies.
• Experience building machine learning models, including regression, classification, clustering, anomaly detection and time-series forecasting.
• Familiarity with Microsoft Azure, including Azure AI services, Azure Machine Learning or other cloud-based AI and machine learning services.
• Understanding of large language models, retrieval-augmented generation, prompt engineering and AI agent development is highly desirable.
• Experience working with both structured enterprise data and semi-structured data such as documents or system logs.
• Strong communication skills with the ability to explain technical concepts to both technical and non-technical stakeholders.
• Experience supporting Finance, HR, Shared Services or other enterprise business functions would be an advantage.