AI Architect

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.

As an AI Architect, you will serve as the bridge between business strategy and AI technology, helping business stakeholders identify, shape, and prioritize AI opportunities that deliver measurable outcomes. You will partner closely with business leaders, product owners, and technology teams to translate business challenges into scalable AI, Machine Learning, and Generative AI solutions.

Role Duties & Responsibilities:

Engaging senior business leaders to uncover opportunities.

Advising stakeholders on AI strategy and adoption.

Building business cases and demonstrating value realization.

Responsible for solution envisioning, architecture design, and adoption strategy

Design end-to-end AI, ML, and Generative AI solution architectures that are scalable, secure, and aligned with enterprise standards.

Define architecture patterns, reference designs, and reusable AI capabilities for enterprise-wide adoption.

Lead solution design for emerging AI technologies including Agentic AI, RAG architectures, MCP servers, Model APIs, and AI orchestration frameworks.

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.