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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
Role Summary 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.
Key Responsibilities Technical & Engineering Leadership - 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.
Service Delivery & Innovation - 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.
Thought Leadership & Client Engagement - 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.
Collaboration & Stakeholder Management - 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.
Required Qualifications - 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 .
Certifications - Professional certification in AI and/or Cloud from Google , Microsoft , or AWS .
Behavioral Competencies - 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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