Lead, AI TechOps

SPH Media Limited; Singapore; Presencial; SGD 120.000 - 180.000; Jornada completa

Descripción de la vacante

SPH Media Limited is seeking a senior AI/ML Platform Engineer to lead a small, multidisciplinary engineering team while remaining hands-on in architecture and delivery. You will design AI-enabled services, integrate with enterprise systems, APIs and data sources, and drive reliable, secure solutions.

The role requires a degree in CS/IT/SE/AI, significant software engineering and AI development experience, and strong knowledge of LLMs, MLOps, CI/CD, cloud, and secure SDLC.

Formación

• Degree in Computer Science, Information Technology, Software Engineering, Artificial Intelligence or related discipline or equivalent practical experience.
• Significant experience in software engineering, AI application development, platform engineering or related technical field, including delivering solutions into operational use.
• Strong understanding of modern AI application architectures including LLMs, RAG, AI agents, tool calling, prompt/context engineering and workflow orchestration.
• Proficiency in at least one modern programming language and ability to design/build applications that integrate AI with enterprise systems, APIs and data sources.
• Experience with modern front-end or full-stack development, AI-assisted coding and rapid prototyping, plus understanding of back-end services, cloud infrastructure, deployment and operations.
• Familiarity with MLOps, LLMOps or DevOps practices including CI/CD, automated testing, monitoring, version control, containerisation and production deployment.
• Understanding of enterprise technology architecture, cybersecurity, IAM, data governance, secure SDLC.
• Experience with enterprise AI platforms, cloud services and AI development frameworks is advantageous.

Responsabilidades

• Lead a small, multidisciplinary engineering team while remaining hands-on in architecture, development and technical decision-making.
• Translate ambiguous business needs into well-scoped, usable and technically sound solutions.
• Balance speed of experimentation with reliability, security, maintainability and long-term operational support.
• Prioritise competing demands and deliver outcomes in a fast-evolving technology environment where requirements and AI capabilities may change rapidly.
• Collaborate with business stakeholders, IT teams, cybersecurity teams and other technology partners.

Conocimientos

AI application development

Platform engineering

CI/CD

Containerisation

Security practices

Educación

CS/IT/SE/AI degree or equivalent

Herramientas

AI development frameworks

Cloud services (enterprise)

CI/CD tools

Containerisation tools

Descripción del empleo

Experience and Technical Expertise

• Degree in Computer Science, Information Technology, Software Engineering, Artificial Intelligence or a related discipline, or equivalent practical experience
• Significant experience in software engineering, AI application development, platform engineering or a related technical field, including experience delivering solutions into operational use
• Strong understanding of modern AI application architectures, including large language models (LLMs), retrieval-augmented generation (RAG), AI agents, tool calling, prompt and context engineering, and workflow orchestration
• Proficiency in at least one modern programming language and the ability to design and build applications that integrate AI capabilities with enterprise systems, APIs and data sources.
• Experience with modern front-end or full-stack development, AI-assisted coding and rapid prototyping, alongside an understanding of back-end services, cloud infrastructure, deployment and operational requirements
• Familiarity with MLOps, LLMOps or DevOps practices, including CI/CD, automated testing, monitoring, version control, containerisation and production deployment
• Understanding of enterprise technology architecture, cybersecurity, identity and access management, data governance and secure software development practices
• Experience working with enterprise AI platforms, cloud services and AI development frameworks is advantageous

Leadership and Delivery Capabilities

• Demonstrated ability to lead a small, multidisciplinary engineering team while remaining hands-on in architecture, development and technical decision-making
• Strong product and problem-solving mindset, with the ability to translate ambiguous business needs into well-scoped, usable and technically sound solutions
• Comfortable balancing speed of experimentation with reliability, security, maintainability and long-term operational support
• Ability to prioritise competing demands and deliver outcomes in a fast-evolving technology environment where requirements and AI capabilities may change rapidly
• Experience working collaboratively with business stakeholders, IT teams, cybersecurity teams and other technology partners

Mindset and Personal Attributes

• Builder mentality: Enjoys turning ideas into working solutions rather than stopping at concepts, presentations or proofs of concept
• AI-native and future-oriented: Actively explores emerging AI capabilities and understands how to apply them pragmatically to solve real organisational problems
• Pragmatic innovator: Knows when a no-code solution is sufficient, when lightweight custom development is appropriate, and when a more robust engineered solution is necessary
• User- and outcome-focused: Prioritises usability, adoption and measurable business value over technical novelty
• Enabler and collaborator: Works effectively with colleagues across different levels of AI maturity and complements organisation-wide efforts to democratise AI
• Operationally minded: Understands that successful AI transformation requires not only building solutions, but also ensuring they are secure, reliable, scalable and sustainable