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Urgent! Principal AI Architect Job Opening In Singapore, Singapore – Now Hiring Epergne Solutions



Job description

Principal AI Architect

Location: Singapore | Experience: 10+ years | Full‑time.

We are seeking an experienced AI Architect to lead the design and implementation of advanced AI solutions across Edge, On‑Prem, and Cloud environments.

The ideal candidate is a strategic thinker, hands‑on technologist, and thought leader passionate about driving AI‑enabled business transformation and innovation.

Key Responsibilities

  • Design and implement end‑to‑end AI architectures integrating cutting‑edge technologies.

  • Lead architectural discussions and provide expert guidance on AI adoption across diverse environments (Edge, Cloud, Data Centre).

  • Ensure alignment with modern best practices, covering GPU/NPU, cognitive infrastructure, and AI agent frameworks.

  • Collaborate on projects involving open‑source and partner technologies (e.g., Kubernetes, TensorFlow, PyTorch).

  • Architect AI solutions from ideation to MVP, driving measurable business outcomes.

  • Evaluate and optimize AI and cloud architectures for performance, scalability, and cost‑efficiency.

  • Modernize legacy systems through AI‑driven transformation initiatives.

  • Champion GenAI adoption and innovative use cases across multiple domains.

  • Advise business and technology leaders on Generative AI strategy and implementation.

  • Conduct workshops and technical briefings to promote AI awareness and adoption.

  • Publish thought leadership content (whitepapers, blogs) and represent the organization at industry events.

  • Mentor teams and foster an innovation‑driven culture.

Skills & Requirements

  • 10+ years in architecture design and 7+ years in software engineering.

  • Proven experience designing AI and cloud‑based solutions.

  • Strong proficiency in AWS, Azure, or Google Cloud platforms.

  • Hands‑on experience in Python, Java, or Go.
  • Deep understanding of Machine Learning, NLP, and Generative AI models (e.g., GPT, BERT, DALL‑E).

  • Knowledge of LLMOps, model governance, data engineering, and Responsible AI practices.

  • Experience with TensorFlow, PyTorch, and AI pipeline development.

  • Excellent communication and leadership abilities.

  • Strong analytical thinking and problem‑solving mindset.

  • Ability to engage with stakeholders across technical and business functions.

  • Preferred: AI or Cloud certifications from Google, Microsoft, or AWS.

Benefits

We offer a competitive salary package, comprehensive benefits, and ample opportunities for professional growth in a dynamic environment.

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Required Skill Profession

It Management & It Project Management, Software Architecture & Engineering



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    Unlock Your Principal AI Potential: Insight & Career Growth Guide


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