Head, Ai Engineering

1 week ago

Singapore PRUDENTIAL ASSURANCE COMPANY SINGAPORE (PTE) LIMITED Full time

**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.
- Direct the lifecycle management of AI/ML solutions, from ideation to deployment, ensuring alignment with business goals and user needs.
- 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.
- 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.

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