Innovative AI Solutions Architect

2 weeks ago

Singapore beBeeArtificialIntelligence Full time

Chief AI Innovation Officer

We are seeking a visionary leader to drive the design, development, and deployment of cutting-edge AI solutions. This role will oversee a high-performing team and be responsible for scaling AI capabilities across the organization.

  • Lead the end-to-end development and deployment of AI solutions, from proof-of-concept to enterprise-scale implementation.
  • Broaden the scope of AI expertise among the team by providing technical leadership, mentorship, and best practices.
  • Collaborate with business units to identify AI/ML opportunities and translate them into scalable technical solutions.
  • Design system architecture to ensure seamless integration with existing enterprise IT and data infrastructure.
  • Oversee model lifecycle management, including training, deployment, monitoring, and retraining.
  • Foster adoption and change management by ensuring usability, performance, and business impact of AI solutions.
  • Stay updated with emerging AI/ML trends, tools, and frameworks, and apply them where relevant.

Requirements:

  • Bachelor's or Master's degree in Computer Science, Engineering, or related field.
  • 7+ years of experience in software engineering, with at least 3+ years in AI/ML solution development.
  • Proven experience deploying AI/ML solutions at enterprise scale (not just PoCs).
  • Strong hands-on experience with Python, TensorFlow, PyTorch, or other ML frameworks.
  • Experience with cloud platforms and MLOps best practices.
  • Solid understanding of system design, APIs, and enterprise integration.
  • Strong stakeholder management and ability to work in complex, cross-functional environments.
  • Prior team leadership experience preferred.

Benefits:

  • A dynamic and innovative work environment.
  • Opportunities for professional growth and development.
  • Competitive compensation and benefits package.

Others:

  • Experience in large-scale enterprise environments.
  • Exposure to GenAI applications.
  • Familiarity with data governance, security, and compliance in AI.

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