Editorial summary

The company is a leading technology-driven organization specializing in large-scale digital solutions, AI products, and data platforms aimed at addressing complex business and societal challenges. The Senior Deployed AI Engineer will be responsible for the full development lifecycle of AI and software solutions, including problem framing, design, implementation, deployment, and production support. Candidates are expected to have expertise in AI development and deployment. The position offers a salary of 25,000.

This summary is AI-generated and may contain inaccuracies. Please refer to the full job description below.

Job description

[This job id 19586 first appeared in Job-Q.com on 13 Jul 2026]

Your new company

You will be joining a leading technology-driven organisation focused on building large-scale digital solutions, AI products, and data platforms that solve complex business and societal challenges. The team works closely with clients and stakeholders across different industries to design, build, and deploy innovative AI-enabled solutions.

Your new role

As a Senior Deployed AI Engineer, you will be involved in the full development lifecycle of AI and software solutions, from problem framing and solution design through to implementation, deployment, and production support. You will work with modern engineering practices, large-scale data systems, cloud infrastructure, and emerging AI technologies including Large Language Models.

Job Responsibilities

• Design, build, and deploy scalable AI, machine learning, and software solutions using modern programming languages and cloud technologies.
• Develop robust, maintainable, and production-quality code while applying strong software engineering practices across the full SDLC.
• Work closely with cross-functional teams and stakeholders to translate business problems into practical AI and technology solutions.
• Optimise algorithms, data pipelines, and system performance to improve scalability, reliability, and computational efficiency.
• Contribute to engineering best practices across code quality, testing, deployment, DevOps, documentation, and continuous improvement.

Job Requirements

• Strong hands-on software engineering experience with Python, and ideally exposure to C++, Scala, JavaScript, TypeScript, React, or GraphQL.
• Experience working with AI/ML solutions, Large Language Models, data analytics, or large-scale data platforms. Exposure to building Generative AI tools or LLM-based applications.
• Familiarity with relational, non-relational, and streaming data structures, with exposure to tools such as SQL, Spark, Hadoop, Pandas, or Scikit-learn.
• Experience with cloud platforms such as AWS, Azure, or Google Cloud, together with DevOps tools such as Docker, Kubernetes, CI/CD, or Terraform.
• Strong problem-solving, communication, and stakeholder management skills, with the ability to work in agile, fast-paced, and client-facing environments.
• Due to project requirements and hiring considerations, this opportunity is currently open to candidates who are Singapore Citizens or Singapore Permanent Residents.

What you'll get in return

You will have the opportunity to work on high-impact AI and digital transformation projects, collaborate with strong technical teams, and gain exposure to modern AI, cloud, and data technologies. This role offers strong technical growth, project variety, and the opportunity to build solutions with real-world impact.

What you need to do now

If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or email eugene.fo@hays.com.sg for a confidential discussion on your career. Referrals are welcome.

If this job isn't quite right for you, but you are looking for a new position within the tech space, please contact us as well.

EA Reg Number: R25127914

EA License Number: 07C3924 | Company Registration No: 200609504D

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