Lead AI Architect — Cloud, Video Analytics & ML

United States Digital Space LLC

Singapore

On-site

SGD 180,000 - 240,000

Full time

14 days+

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Job summary

United States Digital Space LLC is seeking a senior AI architect to lead the design, development, and deployment of AI-driven solutions for enterprise initiatives. You will combine hands-on technical capability with leadership, collaborating with cross-functional stakeholders to deliver scalable, secure, and high-impact AI systems.

The role emphasizes AI architecture, cloud deployment on Azure, DevOps practices, and mentorship of junior engineers.

Qualifications

Bachelor’s degree in Computer Science, Information Technology, or a related field.
4+ years 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.

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.
Ensure AI systems meet scalability, performance, reliability, and security standards.
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.
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.
Participate in peer reviews to improve solution quality and maintain best practices.
Ensure compliance with technical standards, security policies, and project guidelines.
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.