AI Architect

Reposted One Month Ago
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Singapore, SGP
In-Office
Senior level
Financial Services
The Role
As an AI Architect, you will design and implement AI solutions, bridge business and technical needs, and lead AI model development within a team. Responsibilities include identifying AI opportunities, maintaining architecture, and optimizing systems while ensuring best practices in MLOps and stakeholder collaboration.
Summary Generated by Built In

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.

Skills Required

  • 7+ years of experience in AI/ML/GenAI development and architecture
  • Expertise in Python, R, and data engineering concepts
  • Experience with cloud platforms (AWS, Azure, GCP)
  • Strong knowledge of Machine Learning, Deep Learning, and Natural Language Processing
  • Experience in Building AI/GenAI solution in Insurance/financial institutions
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The Company
HQ: London
52,292 Employees

What We Do

In Asia and Africa, Prudential has been providing familiar, trusted financial security to people for 100 years. Today, headquartered in Hong Kong and London, we are ranked top three in 12 Asian markets with 18 million customers, around 68,000 average monthly active agents and access to over 27,000 bank branches in the region. Prudential is focused on opportunities in the most exciting growth markets in Asia and Africa. With access to over 4 billion people in both these regions, we are investing in broadening our presence and building our leadership in the life and asset management markets. We are committed to making a positive impact on our customers, our employees and our communities by delivering the best savings, health and protection solutions to people so they can get the most out of life. Visit our websites for more information Prudential plc: https://www.prudentialplc.com/ Prudence Foundation: https://www.prudentialplc.com/en/prudence-foundation

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