Lead AI Platform Architect

About Singtel

Singtel is committed to empowering every generation by connecting people to opportunities that foster growth and innovation. As an AI-driven telecommunications company, we combine trusted networks with intelligent digital services, including 5G, cloud, cybersecurity, and AI, to enhance how millions live and work worldwide. Our vibrant culture of continuous learning and innovation creates a supportive environment where you can advance your career while making an impact on global digital transformation.

Role Overview

We are seeking a Lead AI Platform Architect to take on the pivotal responsibility of shaping the architecture, technology direction, and development roadmap for Singtel's enterprise AI platform, particularly the Central AI Kitchen (CAK) and its related ecosystem. This leadership role involves adopting and overseeing emerging AI technologies to build secure, scalable, and enterprise-grade AI capabilities that accelerate innovation across the organisation.

Key Responsibilities

• Define and continuously update the enterprise AI platform architecture and technology roadmap for CAK or similar AI platforms.
• Create reusable AI platform capabilities, architectural principles, design guidelines, and technical frameworks to ensure secure, scalable, and standardized AI adoption company-wide.
• Evaluate, benchmark, and recommend hosted, self-hosted, and open-weight foundational AI models, formulating enterprise-wide model selection strategies reflecting business goals and governance.
• Collaborate with technology partners, cloud vendors, AI suppliers, and industry players to explore and integrate emerging platform features enhancing the AI ecosystem.
• Lead proof-of-concept projects, technology evaluations, and pilots for new AI technologies, validating their feasibility, business value, and scalability while staying informed on industry trends.
• Establish architecture and best practices for model optimization techniques.
• Architect multimodal AI capabilities covering language, speech, voice, document, image, vision-language, and video models.
• Set enterprise standards and governance protocols for AI model lifecycle management including versioning, retraining, regression control, performance assessment, and retirement.
• Lead technical evaluations and benchmarking for AI frameworks, platforms, and commercial solutions, recommending Build, Buy, or Partner strategies based on alignment with enterprise architecture and total cost of ownership.
• Document and maintain AI platform reference architectures, reusable designs, standards, and best practices.
• Partner with Enterprise Architecture, Cybersecurity, and governance teams to ensure platform designs meet security, compliance, and regulatory requirements.
• Review and guide architecture proposals for new AI platform capabilities ensuring adherence to enterprise standards and governance.
• Present and advocate AI platform architecture proposals to senior management and Architecture Review Boards.
• Provide architectural guidance to AI Platform Engineering teams during planning and implementation phases.
• Work with Platform Engineering and Operations to define operational architecture, reliability standards, observability, and lifecycle management for production AI services.
• Collaborate with AI Solution Architects and Security Architects to embed reusable capabilities and security, privacy, and Responsible AI principles into platform design.
• Mentor platform architects and senior engineers to promote architecture excellence and continuous improvement.
• Act as the primary technical advisor on enterprise AI platform strategy, influencing diverse stakeholders and driving continuous evolution of a secure and scalable platform.

Requirements

• Bachelor's degree in Computer Science, Computer Engineering, Software Engineering, Information Systems, or a related field.
• Solid expertise in enterprise platform architecture, distributed systems, and cloud-native technologies.
• A minimum of 10 years' experience in enterprise, platform, software, or cloud architecture involving large-scale platforms.
• At least 3 years' experience architecting AI, Machine Learning, or Generative AI platforms within enterprise settings.
• Proven track record in defining platform architectures, roadmaps, and reusable capabilities.
• Experienced in architecture governance including presentations to senior management and Architecture Review Boards.
• Ability to work collaboratively across Enterprise Architecture, Engineering, Infrastructure, Cybersecurity, Data, and Business teams.
• Deep understanding of AI platform ecosystems such as Model-as-a-Service (MaaS), agentic AI, foundation models, LLMs, SLMs, and multimodal AI deployment strategies.
• Knowledge of AI model lifecycle including evaluation, fine-tuning, deployment, monitoring, versioning, and governance.
• Well-versed in cloud-native, hybrid cloud, on-premises architectures, distributed computing, and container orchestration.
• Familiarity with enterprise AI application patterns including Retrieval-Augmented Generation, AI agents, workflow orchestration, MCP, and API/integration architectures.
• Strong grasp of enterprise architecture principles including microservices, event-driven models, and API-first design.
• Expertise in AI security, Responsible AI, data and model governance, privacy, and regulatory compliance.
• Knowledge of AI platform reliability, scalability, observability, resiliency, and performance optimization.
• Capacity to evaluate emerging AI technologies and translate trends into platform strategies and standards.
• Excellent strategic thinking, analytical ability, and skill in simplifying complex technical decisions for stakeholders.
• Strong collaboration, stakeholder management, communication, presentation, and documentation competencies.
• Proven leadership in mentoring technical teams and driving architecture excellence.
• Passion for innovation and continuous learning in emerging AI technologies.

Eligibility

Open for applications; eligibility specifics not disclosed.