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Principal AI Architect – Strategic Innovation & AI Transformation

LMA RECRUITMENT SINGAPORE PTE. LTD.

Singapore

On-site

SGD 150,000 - 240,000

Full time

5 days ago
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Job summary

Join a leading technology lab as a Principal AI Architect, focusing on cutting-edge AI solutions. This high-impact role demands a blend of technical leadership and strategic influence, working with top-tier tech partners. You'll engage with CxO-level stakeholders, mentor engineering teams, and drive innovation.

Qualifications

  • 10+ years in architecture; 7+ years in software engineering.
  • Deep knowledge of ML algorithms, LLMs, NLP, model fine-tuning.
  • Understanding of Responsible AI, bias mitigation, and governance strategies.

Responsibilities

  • Architect scalable AI solutions and lead design discussions with clients.
  • Translate business vision into AI-powered MVPs with agile delivery.
  • Act as an industry influencer through workshops and publications.

Skills

Cloud Proficiency
Programming Skills
AI Expertise

Education

Bachelor’s in Computer Science, Engineering, or related field

Tools

TensorFlow
PyTorch

Job description

Join a technology lab as a visionary Principal AI Architect to lead the design and deployment of cutting-edge AI-driven solutions across global enterprise environments. As a senior trusted advisor to our clients, you’ll play a pivotal role in shaping AI-first transformation journeys, guiding technology leaders through the evolving landscape of Generative AI, edge computing, cloud ecosystems, and more.


This is a high-impact role for a seasoned professional who thrives at the intersection of deep technical expertise and strategic influence. You’ll be working ahead of industry trends, engaging with CxO-level stakeholders, and partnering with leading tech providers like Google, Microsoft, AWS, NVIDIA, and Red Hat to build scalable, secure, and high-performance AI architectures.

What You’ll Do


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.

Innovation & Delivery

  • 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.

Thought Leadership

  • 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.

Collaboration & Mentorship

  • 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.

What You Bring

  • 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.

This role is ideal for a technologist, strategist, and storyteller—someone who can inspire change, shape vision, and deliver innovation that transforms businesses. If you’re ready to push the boundaries of what’s possible with AI, we’d love to hear from you.

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