Define best practices for AI solution deployment, MLOps, LLMOps, monitoring, and lifecycle management.
Drive standardization of AI design patterns, architecture principles, and development methodologies.
Competencies & Personal Traits
Strong understanding of AI, Machine Learning, Generative AI, Large Language Models (LLMs), NLP, and Agentic AI frameworks.
Experience designing AI solution architectures using technologies such as LangChain, LangGraph, RAG frameworks, MCP servers, and AI orchestration platforms.
Knowledge of cloud-based AI platforms across Azure and GCP
Understanding of MLOps, LLMOps, model governance, observability, and responsible AI practices.
Familiarity with data architecture, integration patterns, APIs, and scalable enterprise platforms.
Experience developing reusable services and AI enablement capabilities is advantageous.
Experience with Databricks, MLFlow, and modern AI/ML ecosystems is a plus.
Working Experience
5-7+ years of experience in AI, data, solution architecture, or enterprise architecture roles.
Proven experience leading AI discovery, solution design, and architecture engagements with business stakeholders.
Experience designing and delivering enterprise AI and Generative AI solutions from concept through implementation.
Strong understanding of AI governance, security, compliance, and responsible AI principles.
Experience within insurance, financial services, or highly regulated industries is advantageous.
Master/Bachelor's degree in Computer Science, Data Science, Engineering, Information Technology, or a related discipline.
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.
