Head, AI Engineering

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.