AI Engineering Lead
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 seeking an AI Engineer to join the DPS Engineering team, embedded within a cross-functional product delivery squad. This role will focus on designing, building, and deploying AI-driven capabilities that enhance product features, improve operational efficiency, and support data-driven decision-making.
The individual will work closely with product managers, engineers, and domain experts to translate business requirements into scalable AI solutions, ensuring seamless integration into production systems.
AI Solution Development
Design, develop, and deploy machine learning and AI models (e.g., NLP, predictive analytics, GenAI use cases) aligned with product objectives
Translate business problems into AI/ML solutions with clear success metrics
Product Integration
Embed AI capabilities into product features and workflows within the delivery squad
Collaborate with backend/frontend engineers to ensure scalable and reliable deployment
Model Lifecycle Management
Build and maintain end-to-end ML pipelines (data ingestion, training, evaluation, deployment, monitoring)
Ensure continuous improvement through model retraining and performance tuning
Data & Engineering Collaboration
Work with data engineers to define data requirements, pipelines, and data quality standards
Ensure proper feature engineering and dataset governance
Risk, Governance & Responsible AI
Ensure AI solutions comply with enterprise standards on security, privacy, and responsible AI usage
Document models, assumptions, and limitations clearly
Job Qualification
Strong experience in Python and AI/ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn)
Experience with GenAI / LLMs (e.g., prompt engineering, RAG architectures, API-based models)
Familiarity with MLOps practices (CI/CD, model deployment, monitoring)
Experience working with cloud platforms (Azure preferred, AWS/GCP acceptable)
Knowledge of data engineering concepts (SQL, data pipelines, APIs)
Proven track record of delivering AI solutions in production environments
Experience working in agile, squad-based delivery models
Strong problem-solving mindset with a focus on business impact
Ability to work in fast-paced, iterative delivery environments
Effective collaboration across engineering, product, and business teams
Curiosity and drive to continuously learn emerging AI technologies
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.