Principal AI Architect

1 week ago

Singapore APAR TECHNOLOGIES PTE. LTD. Full time
Roles & Responsibilities

ResponsibilitiesTechnical & Engineering Leadership
  • Design comprehensive AI solutions and technology architecture, integrating the latest AI developments.
  • Lead high-level architectural discussions with clients, providing expert guidance on AI implementations across AI PC, Edge, Data Centre, and Public Cloud environments.
  • Ensure solutions align with modern best practices across platforms, with deep knowledge of GPU/NPU, Cognitive Infrastructure, Applications, and Copilot/agent domains.
  • Contribute to Organization's thought leadership in AI & Cloud domains, with expertise in open-source technologies (e.g., Kubernetes, OPEA) and partner technologies.
  • Collaborate on joint technical projects with global partners, including Google, Microsoft, AWS, NVIDIA, IBM, Red Hat, Intel, and Dell.
Service Delivery & Innovation
  • Architect innovative AI solutions from ideation to MVP, enabling genuine business value.
  • Optimize AI and cloud architectures, balancing efficiency, accuracy, and effectiveness.
  • Assess and review existing complex solutions, recommending architectural improvements with the latest AI technologies.
  • Drive the adoption of cutting-edge GenAI technologies, spearheading initiatives that push AI integration boundaries across environments.
Thought Leadership & Client Engagement
  • Provide expert architectural and strategy guidance to clients on Generative AI adoption in their business and technology landscape.
  • Conduct workshops, briefings, and strategic dialogues to educate clients on AI benefits, establishing strong, trust-based relationships.
  • Act as a trusted advisor, contributing to technical projects with a strong focus on technical excellence and on-time delivery.
  • Author whitepapers, blogs, and speak at industry events, maintaining thought leadership visibility in AI technologies.
Collaboration & Customer Engagement
  • Engage with multiple customers simultaneously, fostering high-impact consultative relationships.
  • Work closely with internal teams and global partners to ensure seamless collaboration and knowledge sharing.
  • Maintain hands-on technical credibility, staying ahead of industry trends and mentoring others in the organization.
Essential Skills
  • Education: Bachelor's Degree in Computer Science, Engineering, IT, or a related field.
  • Experience: 10+ years in architecture design and 7+ years in software engineering.
  • Cloud Expertise: Public Cloud environments (AWS, Azure, Google Cloud).
  • Programming: Proficiency in Python, Java, or Go.
  • AI Expertise:Advanced ML algorithms, GenAI models (GPT, BERT, DALL-E, GEMINI), NLP techniques.
    Copilot solutions for software engineering and office productivity.
    GenAI operations (LLMOps) and AI governance in production environments.
    Data engineering for AI (data preprocessing, feature engineering, pipeline creation).
    AI model fine-tuning and evaluation for specialized tasks.
    Responsible AI governance, ethics, and bias mitigation strategies.
    Deep Learning Frameworks (TensorFlow, PyTorch).
    AI Strategy, Vision, and Road mapping.
Certifications
  • Recognized AI/Cloud certification from Google, Microsoft, or AWS.
Soft Skills & Behavioral Competencies
  • Strong communication and leadership, inspiring teams and aligning strategy with business goals.
  • Customer-oriented, problem-solving mindset, fostering cross-cultural collaboration.
  • Expert in driving organizational change and promoting a culture of innovation.

EA Number: 11C4879

Tell employers what skills you have

Mentoring
Machine Learning
Leadership
Kubernetes
Azure
Architect
Artificial Intelligence
Software Engineering
Azure Machine Learning
Soft Skills
PyTorch
Python
Architecture Design
Artificial Intelligence Application
Java
Service Delivery

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