Senior AI Engineer – 12 months contract

PERSOL Outsourcing; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

PERSOL Outsourcing is seeking a senior AI Architecture & Delivery lead in Singapore to architect and drive end-to-end AI solutions. You will develop, deploy, and optimize models using Python, Azure AI, and other cloud services, while integrating video analytics into robust platforms.

You will mentor engineers, collaborate with stakeholders, and ensure quality through governance and DevOps practices. Strong leadership and communication are essential to succeed in a fast-paced delivery environment.

Qualifications

• More than 4 years of hands-on experience in AI development and implementation.
• Solid Python programming background with practical Azure AI experience.
• Experience with ML frameworks (TensorFlow or PyTorch) and video analytics.

Responsibilities

• Lead AI solution architecture, design, and end-to-end implementation across projects.
• Develop, optimize, and deploy AI models using Python and cloud-based AI services.
• Integrate video analytics and video processing capabilities into AI solutions.
• Design AI solutions on Azure and other cloud platforms, with edge deployment when needed.
• Apply DevOps practices to AI development, deployment, and monitoring.
• Collaborate with cross-functional teams to identify AI opportunities and align with business needs.

Skills

Python

Azure AI

ML frameworks

Video analytics

AI DevOps

Agile delivery

Leadership

Communication

Education

Bachelor's degree in Computer Science/IT

Tools

Azure

TensorFlow

PyTorch

Job description

AI Architecture & Solution Delivery

• Lead AI solution architecture, design, and end-to-end implementation across projects
• Develop, optimize, and deploy AI models using Python and cloud-based AI services
• Integrate video analytics and video processing capabilities into AI solutions
• Ensure AI systems meet scalability, performance, reliability, and security standards

Cloud & Platform Engineering

• Design and implement AI solutions on Azure and other cloud platforms as required
• Support edge AI deployment strategies where applicable
• Apply DevOps practices to streamline AI development, deployment, and monitoring

Stakeholder & Delivery Collaboration

• Collaborate with cross-functional teams to identify and evaluate AI opportunities
• Participate in requirements gathering and review functional specifications with Business Analysts
• Work with the team lead to ensure designs and code align with architecture principles and standards

Quality & Governance

• Participate in peer reviews to improve solution quality and maintain best practices
• Ensure compliance with technical standards, security policies, and project guidelines

Leadership & Continuous Improvement

• Mentor and guide junior engineers and data scientists
• Stay current with emerging AI technologies, tools, and industry trends
• Contribute to strategic thinking and continuous improvement initiatives

Qualifications

Experience & Skills

• More than 4 years of hands-on experience in AI development and implementation
• Strong proficiency in Python programming
• Hands‑on experience with Azure AI and cloud services
• Experience with machine learning frameworks such as TensorFlow or PyTorch
• Familiarity with video analytics and AI-based video processing
• Knowledge of DevOps practices within AI or data projects
• Experience working in agile delivery environments
• Strong leadership, project management, problem‑solving, and communication skills
• Excellent analytical, strategic, and solution‑oriented thinking

Certifications (Preferred)

• Microsoft Certified: Azure AI Engineer Associate
• Certified Artificial Intelligence Professional (CAIP)

Education

• Bachelor’s degree in Computer Science, Information Technology, or a related field