Principal AI Architect

Job description

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The Principal AI Architect is a senior-level role responsible for leading the design and implementation of cutting-edge AI solutions and enterprise-wide architecture.

This strategic position involves collaborating with global technology leaders and serving as a trusted advisor on AI-driven transformation initiatives.

This role requires deep expertise in AI technologies across Edge, on-premises, and Public Cloud environments.

It demands a strong grasp of Generative AI and its potential impact at both individual and organizational levels.

The ideal candidate will be a recognized thought leader, with a solid foundation in architecture and engineering, and a passion for driving innovation through emerging technologies.

Job Title : Principal AI Architect

Job Type : Full-time

Location Singapore

Level : Senior / Leadership

The Principal AI Architect is a senior-level role responsible for leading the design and implementation of cutting-edge AI solutions and enterprise-wide architecture.

This strategic position involves collaborating with global technology leaders and serving as a trusted advisor on AI-driven transformation initiatives.

This role requires deep expertise in AI technologies across Edge, on-premises, and Public Cloud environments.

It demands a strong grasp of Generative AI and its potential impact at both individual and organizational levels.

The ideal candidate will be a recognized thought leader, with a solid foundation in architecture and engineering, and a passion for driving innovation through emerging technologies.

• Design enterprise-grade AI architectures, integrating the latest advancements into scalable, high-performance solutions.
  
  
• Lead architectural discussions, offering strategic guidance for AI adoption across Edge, Data Center, and Cloud environments.
  
  
• Ensure alignment with modern best practices spanning GPU/NPU, cognitive infrastructure, applications, and agent-based systems.
  
  
• Contribute to AI and cloud thought leadership, including open-source technologies (e.g., Kubernetes, OPEA) and vendor platforms.
  
  
• Partner with leading global technology providers (e.g., Google, Microsoft, AWS, NVIDIA, IBM, Red Hat, Intel, Dell) on strategic initiatives.
  
  

• Architect AI solutions from concept through MVP, delivering measurable business value.
  
  
• Assess and enhance existing architectures to support AI modernization and efficiency improvements.
  
  
• Champion GenAI adoption and drive innovation across various technical environments.
  
  
• Optimize AI/cloud architecture to meet performance, accuracy, and usability standards.
  
  

• Advise clients on incorporating GenAI into their technology landscape with strategic insight and technical clarity.
  
  
• Lead workshops, briefings, and executive sessions to foster understanding and trust.
  
  
• Maintain visibility through thought leadership—whitepapers, blog contributions, and industry speaking engagements.
  
  
• Deliver architectural excellence and help shape long-term AI strategy.
  
  

• Engage with multiple clients and stakeholders concurrently, providing high-impact consulting and architecture solutions.
  
  
• Collaborate across internal teams and global partners, ensuring technical synergy and shared knowledge.
  
  
• Maintain hands-on technical credibility while mentoring and inspiring teams.
  
  

• Bachelor's degree in Computer Science, Engineering, or related field.
  
  
• 10+ years of experience in architecture design, including 7+ years in software engineering roles.
  
  
• Expertise in Public Cloud platforms (AWS, Azure, Google Cloud).
  
  
• Strong coding skills in Python , Java , or Go .
  
  
• In-depth knowledge of machine learning and GenAI models (e.g., GPT, BERT, DALL·E, GEMINI).
  
  
• Familiarity with NLP, Copilot development, and office productivity automation.
  
  
• Agile and Scrum experience.
  
  
• Practical knowledge of LLMOps , AI governance, and Responsible AI.
  
  
• Data engineering proficiency—pipeline creation, preprocessing, feature engineering.
  
  
• Experience in AI model fine-tuning and performance optimization.
  
  
• Skilled in Deep Learning frameworks such as TensorFlow and PyTorch .
  
  

• Professional certification in AI and/or Cloud from Google , Microsoft , or AWS .
  
  

• Excellent communication and leadership skills, capable of influencing at CxO level.
  
  
• Strong customer orientation and ability to drive change across diverse environments.
  
  
• Passion for innovation, strategic thinking, and fostering a culture of continuous learning.
  
  

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Design, Art/Creative, and Information Technology

• Industries

  IT Services and IT Consulting

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Required Skill Profession

It Management & It Project Management, Software Architecture & Engineering