
Principal AI Architect
- Central Region, Singapore
- Permanent
- Full-time
🔧 Technical Leadership
- Architect sophisticated, scalable AI solutions that span GenAI, cognitive infrastructure, and edge-to-cloud deployment models.
- Lead architectural design discussions with enterprise clients, providing deep expertise across GPU/NPU optimization, data centers, AI PCs, and public cloud platforms.
- Stay hands-on with emerging technologies—Kubernetes, open-source AI frameworks, and GenAI platforms like GPT, BERT, DALL·E, Gemini.
- Translate business vision into AI-powered MVPs, accelerating client value with rapid prototyping and agile delivery.
- Evaluate and modernize existing enterprise systems by integrating state-of-the-art AI technologies.
- Spearhead GenAI adoption strategies, optimizing architectures for performance, efficiency, and responsible governance.
- Act as a visible industry influencer: publish whitepapers, lead workshops, deliver strategic briefings, and speak at global AI forums.
- Advise clients on AI roadmap development, responsible AI practices, and integration strategies aligned to enterprise goals.
- Build and nurture high-impact, consultative relationships with stakeholders across industries.
- Work across multiple client engagements, delivering strategic outcomes and ensuring technical excellence.
- Partner with internal teams and global tech giants to drive innovation and share best practices.
- Mentor engineering teams, foster a culture of innovation, and stay deeply connected to the technical community.
- Education & Experience : Bachelor’s in Computer Science, Engineering, or related field; 10+ years in architecture; 7+ years in software engineering.
- Cloud Proficiency : Hands-on experience with AWS, Azure, and Google Cloud.
- Programming Skills : Strong coding ability in Python, Java, or Go.
- AI Expertise : Deep knowledge of ML algorithms, LLMs (e.g., GPT, BERT), NLP, model fine-tuning, and LLMOps.
- Toolchain Familiarity : Experience with TensorFlow, PyTorch, Copilot engineering, and open-source ecosystems.
- Ethics & Governance : Understanding of Responsible AI, bias mitigation, and AI governance strategies.
- Strategic Mindset : Proven ability to align AI capabilities with long-term business objectives and transformation goals.