Artificial Intelligence Engineer

Elliott Moss Consulting; Singapore; On-site; SGD 180,000 - 280,000; Full time

Benefits offered by this job

CAIP - Certified Artificial AI PROFESS

Job summary

Elliott Moss Consulting is seeking an experienced AI Architect / AI Solution Engineer to lead the architecture, design, development, and end-to-end delivery of AI solutions across projects. The ideal candidate will have hands-on experience in Python, Azure AI services, machine learning, cloud platforms, and AI-based video analytics.

You will translate business requirements into effective AI-driven technical solutions, mentor junior engineers, and collaborate with stakeholders to ensure scalable,

Qualifications

• 4+ years hands-on AI development and implementation.
• Strong proficiency in Python.
• Hands-on experience with Microsoft Azure AI and cloud services.
• Strong understanding of Machine Learning concepts and frameworks (TensorFlow or PyTorch).
• Experience with video analytics, computer vision, or AI-based video processing.
• Knowledge of DevOps practices within AI/ML or data engineering projects.
• Experience in Agile delivery environments.
• Excellent communication and stakeholder management skills.
• Ability to mentor junior engineers and data scientists.

Responsibilities

• Lead AI solution architecture, design, development, and end-to-end delivery.
• Develop, optimize, and deploy AI/ML models using Python and cloud AI services.
• Integrate video analytics and processing capabilities into AI solutions.
• Design scalable, high-performance, secure AI systems.
• Translate business requirements into AI-driven technical solutions.
• Design and implement AI solutions using Microsoft Azure AI and cloud services.
• Support edge AI deployment strategies where applicable.
• Apply DevOps practices for AI development, deployment, monitoring, and lifecycle management.
• Contribute to cloud architecture, deployment automation, and AI platform optimization.
• Mentor junior AI engineers, developers, and data scientists.

Skills

Python

Azure AI

Machine Learning

Video analytics

DevOps for AI

Agile delivery

Architecture

Stakeholder management

Mentoring engineers

Cloud platforms

TensorFlow

PyTorch

Tools

TensorFlow

PyTorch

Job description

We are looking for an experienced AI Architect / AI Solution Engineer to lead the architecture, design, development, and end-to-end delivery of AI solutions across projects. The ideal candidate will have strong hands‑on experience in Python, Azure AI services, machine learning, cloud platforms, and AI‑based video analytics, along with the ability to work closely with technical and business stakeholders.

Key Responsibilities

• Lead AI solution architecture, design, development, and end‑to‑end implementation across projects.
• Develop, optimize, and deploy AI/ML models using Python and cloud-based AI services.
• Integrate video analytics and video processing capabilities into AI solutions.
• Design scalable, high‑performance, reliable, and secure AI systems.
• Translate business requirements into effective AI‑driven technical solutions.
• Design and implement AI solutions using Microsoft Azure AI and cloud services.
• Support edge AI deployment strategies where applicable.
• Apply DevOps practices for AI development, deployment, monitoring, and lifecycle management.
• Contribute to cloud architecture, deployment automation, and AI platform optimization.

Stakeholder & Delivery Collaboration

• Collaborate with cross‑functional teams to identify, evaluate, and implement AI opportunities.
• Participate in requirements gathering and review functional specifications with Business Analysts.
• Work closely with technical leads and architects to ensure solutions align with established architecture principles and standards.
• Support project planning, technical discussions, and end‑to‑end solution delivery.

Quality & Governance

• Participate in peer reviews and promote high‑quality coding and solution design practices.
• Ensure solutions comply with technical standards, security policies, governance requirements, and project guidelines.
• Identify and resolve technical challenges related to AI model performance, scalability, and deployment.
• Mentor and guide junior AI engineers, developers, and data scientists.
• Stay updated with emerging AI/ML technologies, cloud services, and industry trends.
• Contribute to strategic AI initiatives and continuous improvement of engineering practices.
• Promote best practices across AI development, architecture, deployment, and operations.

Required Skills & Experience

• 4+ years of hands‑on experience in AI development and implementation.
• Strong proficiency in Python.
• Hands‑on experience with Microsoft Azure AI and cloud services.
• Strong understanding of Machine Learning concepts and experience with frameworks such as TensorFlow or PyTorch.
• Experience with video analytics, computer vision, or AI‑based video processing.
• Knowledge of DevOps practices within AI, ML, or data engineering projects.
• Experience working in Agile delivery environments.
• Strong solution architecture, problem‑solving, analytical, and strategic thinking skills.
• Excellent communication and stakeholder management skills.
• Proven ability to lead technical discussions and mentor junior team members.

Preferred Certifications

• Certified Artificial Intelligence Professional (CAIP)