Collaborate with cross-functional teams to integrate AI solutions into the sandbox environment.
Provide technical guidance and support to teams using the sandbox for AI product development.
Technical AI Domain Expertise
Conduct research and development (R&D) to stay up-to-date with the latest advancements in AI, machine learning, Large Language Model frameworks.
Provide technical guidance and support in the AI domain to teams under incubation that develop AI products.
Analyse and interpret data to provide actionable insights and recommendations.
AI Development and Quality
Optimize and fine-tune AI models for performance, scalability, and accuracy.
Assist in the technology aspects of the structured AI product incubation and acceleration program.
Ensure AI Products and experiments are developed in alignment with Prudential’s core risk, data protection, technology risk management policies, and regulations.
Contribute to the implementation of rigorous quality assurance processes to maintain the highest standards of AI solutions.
Work on the delivery of high-quality AI products, continuous improvement, experimentation, and development of Prudential’s AI expertise.
Team Collaboration
Collaborate with cross-functional teams, including technology, AI, and business stakeholders, to integrate AI solutions into products and services.
Work with external partners, including higher education institutions, start-ups, and hyperscale’s expert teams and government agencies.
Contribute to a culture of innovation, continuous learning, and knowledge sharing within the AI Lab.
Mentor and guide junior engineers in AI and machine learning best practices
Talent Development and Ecosystem Engagement
Contribute to the development of AI talent within Prudential through participation in education and training programs.
Engage with the external AI ecosystem to stay updated with the latest trends and advancements.
Represent Prudential at industry events and conferences to showcase the company’s AI capabilities.
Who we are looking for
Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
Proven experience (5 years or more) in developing and deploying AI models and algorithms.
Strong technical background in data, AI, and modern cloud infrastructure.
Excellent programming skills in languages such as Python, R.
Experience with machine learning frameworks and libraries (e.g., LLM frameworks, Computer Vision, NLP frameworks, TensorFlow, PyTorch, scikit-learn).
Knowledge of data preprocessing, feature engineering, model evaluation, MLOPs, LLMOps techniques
Familiarity with cloud platforms and services (e.g., AWS, Google Cloud, Azure).
Excellent problem-solving skills and attention to detail. Strong communication and collaboration skills.
Ability & Passion for innovation and a drive to position Prudential at the forefront of AI in the insurance industry
This role presents an exciting opportunity in Prudential's AI transformation and contribute to the company's strategic goals. The AI Lab will play a crucial role in delivering substantial business value, enhancing customer experience, and establishing Prudential as an industry leader in AI innovation.
This role presents an exciting opportunity in Prudential's AI transformation and contribute to the company's strategic goals. The AI Lab will play a crucial role in delivering substantial business value, enhancing customer experience, and establishing Prudential as an industry leader in AI innovation.
Prudential is an equal opportunity employer. We provide equality of opportunity of benefits for all who apply and who perform work for our organisation irrespective of sex, race, age, ethnic origin, educational, social and cultural background, marital status, pregnancy and maternity, religion or belief, disability or part-time / fixed-term work, or any other status protected by applicable law. We encourage the same standards from our recruitment and third-party suppliers taking into account the context of grade, job and location. We also allow for reasonable adjustments to support people with individual physical or mental health requirements.
