Head, AI Engineering

Borr Drilling; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

A leading company in the insurance sector seeks a highly skilled Head of AI Engineering to spearhead the development and deployment of AI and ML solutions. This pivotal role aims to drive business growth, operational efficiency, and innovation while maintaining ethical standards and fostering a culture of continuous learning among team members.

Qualifications

• Extensive experience in AI/ML applications.
• Proven track record of leading teams in a tech-driven environment.
• Deep understanding of ethical AI practices.

Responsibilities

• Lead AI/ML solution lifecycle management and strategy implementation.
• Foster collaboration among cross-functional teams for AI initiatives.
• Champion ethical AI practices and maintain industry best standards.

Skills

AI/ML technologies

Leadership

Collaboration

Innovation

Risk assessment

Job description

Job Profile Summary:

A highly skilled and visionary Head of AI Engineering will lead Prudential efforts in developing and deploying innovative AI/GenAI and ML solutions to drive business growth and efficiency. The role will play a pivotal role in utilizing AI to create a competitive edge, streamline operations, and generate new revenue streams through AI-driven products and services. Collaborating with senior stakeholders, business and technology partners, the Head of AI Engineering will ensure that AI/GenAI solutions are seamlessly integrated and aligned with the organization's strategic objectives.

Job Description:

• Direct the lifecycle management of AI/ML solutions, from ideation to deployment, ensuring alignment with business goals and user needs.
• Apply a sophisticated understanding of AI/ML technologies to design, develop, and substantiate applications that solve specific business issues faced by the company, such as risk assessment, operation efficiency, and personalized insurance offerings.
• Craft and lead machine learning strategies, incorporating a mix of approaches from Predictive AI and Generative AI, to refine and elevate the company's operational and strategic capabilities.
• Lead the selection of development tools and environments, advocating for the adoption of industry best practices in AI and ML project development to optimize performance and innovation.
• Perform comprehensive analyses of engineering decisions, effectively communicating the technical implications and ensuring alignment across the team by facilitating a shared understanding of the chosen approaches and their impact.
• Champion collaboration among diverse teams, including data analysts, scientists, engineers, product managers and business users, to meticulously define requirements and orchestrate strategic product roadmaps that align with the company’s long-term vision.
• Act as a catalyst for innovation, keeping abreast of the latest developments in AI/ML fields, applying this knowledge to drive forward-thinking solutions that keep the organization competitive in the fast-evolving insurance and technology landscape.
• Take charge of a team of machine learning engineers and data scientists, responsible for training, upskilling and guiding their professional development and fostering a culture of excellence, innovation, and continuous learning within the department.
• Promote ethical AI practices, ensuring algorithms and machine learning models deployed are fair, transparent, and devoid of biases, thereby enhancing trust and integrity in AI solutions used within the company.