AI Engineering Director

23 hours ago

Dublin, Dublin City, Ireland beBeeDirector Full time €120,000 - €150,000

About Us

  • Scorebuddy is a leading Quality Management SaaS platform for Contact Centres. We combine quality management, coaching and learning with advanced AI Analytics to help customers worldwide achieve operational efficiency, scale their contact centres, improve agent performance and enhance customer experience.

We are looking for an experienced leader in AI and engineering to join our senior team and shape the next phase of innovation at Scorebuddy. You will champion technological innovations that are transforming the Quality Assurance and Customer Service landscapes.

You'll have the opportunity to assemble an exceptional team of AI specialists while developing solutions that deliver measurable efficiency gains and performance improvements for contact centres globally.

This role plays a critical part in shaping Scorebuddy's AI product vision, engineering culture and long-term technology strategy.

Job DescriptionKey Responsibilities:
  • Lead and manage a team of AI specialists and engineers focused on AI innovation, research and development. Duties include recruitment, training, performance management and professional development of team members.
  • Build and mentor a team of AI specialists and machine learning engineers, cultivate an environment that attracts top AI talent and develop career progression paths for specialised technical roles.
  • Develop and execute a comprehensive AI strategy that aligns with our product roadmap, identify emerging technologies and research areas that could benefit our platform.
  • Establish and lead R&D initiatives, balance exploratory research with practical applications and oversee the transition of successful experiments into production-ready features.
  • Guide architectural decisions for AI systems, establish engineering standards for AI development and work closely with the CTO to integrate AI capabilities into the overall technical vision.
  • Partner with Product Management to identify opportunities for AI-driven features, collaborate on rapid prototyping and PoCs to validate AI applications, participate in product strategy development.
  • Foster a culture of innovation, establish frameworks for evaluating new technologies, develop rigorous testing and validation processes for experimental AI solutions.
  • Oversee resource allocation for AI initiatives, develop metrics to evaluate R&D effectiveness and manage budgets for research activities.
  • Communicate complex AI concepts to business stakeholders, collaborate with cross-functional teams and ensure alignment between technical capabilities and business objectives.
  • Establish robust practices for AI ethics, data privacy and model governance, maintain high quality standards for AI systems and ensure security-by-design in all AI implementations.

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