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Prudential plc

AI Architect

Prudential plc is hiring an AI Architect in Singapore, Singapore. Level rates it ; you can apply on Prudential plc.

Level's read on this job

  • Works on AI ●●●○ is how Level rates this role: the daily work is on AI products, without building the model.
  • The posting mentions LangChain, LangGraph and MLflow among its tools and skills.
  • Level classes it as a senior role.
  • Prudential plc has 437 other open roles on Level.

AI in this role

langchainlanggraphmlflowdatabricks
ragml-opsnlpai-safety

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.

How we rate this

AI Architect at Prudential plc rates 72 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

RAGML OpsNLPAI SafetyLangChainLangGraphMLflowDatabricks

Questions you could be asked

  1. How would you design a retrieval step so the model answers from real data instead of guessing?
  2. How do you monitor a model once it's live, and how do you know it needs retraining?
  3. What NLP problem have you worked on, and how did you measure whether it actually worked?
  4. How do you think about the risk of an AI system in this kind of role failing silently?
  5. Walk me through how you've used LangChain in your day-to-day work.

Adapt your resume

  • List these exact terms on your resume: RAG, ML Ops, NLP, AI Safety, and LangChain. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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