Prudential’s purpose is to be partners for every life and protectors for every future. Our purpose encourages everything we do by creating a culture in which diversity is celebrated and inclusion assured, for our people, customers, and partners. We provide a platform for our people to do their best work and make an impact to the business, and we support our people’s career ambitions. We pledge to make Prudential a place where you can Connect, Grow, and Succeed.
We are looking for an AI Engineer to join our AI Products Engineering team.This role is hands‑on and focused on building, deploying, and operating enterprise‑grade AI and Generative AI solutions that are secure, scalable, and production‑ready.
You will work on modern AI use cases including Large Language Model (LLM) applications, Retrieval‑Augmented Generation (RAG), and intelligent AI workflows, partnering closely with product, data, and platform teams.
We are looking for an AI Engineer to join our AI Products Engineering team.
This role is hands‑on and focused on building, deploying, and operating enterprise‑grade AI and Generative AI solutions that are secure, scalable, and production‑ready.
You will work on modern AI use cases including Large Language Model (LLM) applications, Retrieval‑Augmented Generation (RAG), and intelligent AI workflows, partnering closely with product, data, and platform teams.
Design, develop, and deploy AI and Generative AI solutions for enterprise use cases
Build LLM‑based applications such as RAG pipelines and AI workflows
Integrate AI solutions with enterprise data sources and APIs
Write clean, maintainable, and production‑ready code
Support deployment, monitoring, and operational stability of AI systems
Contribute to technical documentation, model artefacts, and governance requirements
Collaborate with product owners, data engineers, and platform teams
Experience in AI, machine learning, data engineering, or software engineering
Hands‑on experience with Generative AI or LLM‑based solutions
Familiarity with RAG, prompt engineering, or AI pipelines
Strong programming skills in Python
Experience with cloud platforms (AWS, Azure, or GCP) is an advantage
Understanding of production engineering practices such as APIs, CI/CD, and monitoring
Experience with vector databases
Exposure to MLOps or LLMOps concepts
Experience working in a regulated or large enterprise environment
Having experience in predictive analytics and propensity models is a plus
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.
