AI Architect / Insurance (Director)

Argyll Scott

Singapore

On-site

SGD 180,000 - 280,000

Full time

18 hours ago
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Job summary

Argyll Scott is seeking an Enterprise AI Architect at director level to define and scale traditional AI, Generative AI and Agentic AI capabilities across a global enterprise. The role focuses on secure, scalable, reusable AI foundations supporting real-world production use cases across multiple business units.

You will lead architecture governance, patterns, and lifecycle management for models, agents, and platforms, working with Risk, Security, Legal and Compliance to ensure Responsible AI by

Qualifications

  • Must have dedicated AI Architecture and production experience.
  • Strong hands-on experience designing AI, data and cloud architectures within complex enterprise environments.
  • Proven experience architecting and governing large-scale enterprise platforms, ideally involving AI or data-intensive systems.
  • Deep understanding of Generative AI and Agentic AI, including LLM architecture, RAG, prompt engineering, tool calling, multi-agent workflows and agent memory.

Responsibilities

  • Own and continuously develop the enterprise target architecture for Traditional AI, Generative AI and Agentic AI.
  • Translate strategic and operational business requirements into scalable, secure and production-ready AI architectures.
  • Define architecture patterns for agentic systems, including orchestration, tool and function integration, memory, feedback loops and human-in-the-loop controls.
  • Act as the architectural authority for AI initiatives, governing key design decisions and ensuring consistency across the organisation.
  • Design reusable enterprise AI platform components that can support multiple business units and use cases.
  • Establish architecture standards covering security, privacy, compliance, scalability, resilience, observability and cost efficiency.
  • Oversee the implementation and deployment of AI agents and GenAI solutions into the enterprise AI platform.
  • Define lifecycle management approaches for models, agents and platforms, including monitoring, evaluation and continuous improvement.
  • Lead build-versus-buy assessments, vendor evaluations and the integration of third-party AI platforms.
  • Partner with Risk, Security, Legal and Compliance teams to embed Responsible AI and governance by design.
  • Mentor architects and engineers while documenting architecture patterns, standards and key design decisions.

Skills

AI Architecture
Production AI
Data & Cloud
Generative AI
Agentic AI
Architectural Judgement

Education

Computer Science
Data Science
Engineering
Mathematics

Tools

Azure
AWS
LLM tooling

Job description

AI Architect - Traditional AI & Agentic AI / Insurance (Director)


We are partnering with a leading global organisation seeking an Enterprise AI Architect to define and scale enterprise-wide Traditional AI, Generative AI and Agentic AI capabilities.


This is a group-level position supporting multiple business units and corporate functions. The role will focus on building secure, scalable and reusable AI foundations that can support real-world production use cases across a complex enterprise environment.


Responsibilities


  • Own and continuously develop the enterprise target architecture for Traditional AI, Generative AI and Agentic AI.

  • Translate strategic and operational business requirements into scalable, secure and production-ready AI architectures.

  • Define architecture patterns for agentic systems, including orchestration, tool and function integration, memory, feedback loops and human-in-the-loop controls.

  • Act as the architectural authority for AI initiatives, governing key design decisions and ensuring consistency across the organisation.

  • Design reusable enterprise AI platform components that can support multiple business units and use cases.

  • Establish architecture standards covering security, privacy, compliance, scalability, resilience, observability and cost efficiency.

  • Oversee the implementation and deployment of AI agents and GenAI solutions into the enterprise AI platform.

  • Define lifecycle management approaches for models, agents and platforms, including monitoring, evaluation and continuous improvement.

  • Lead build-versus-buy assessments, vendor evaluations and the integration of third-party AI platforms.

  • Partner with Risk, Security, Legal and Compliance teams to embed Responsible AI and governance by design.

  • Mentor architects and engineers while documenting architecture patterns, standards and key design decisions.


Requirements


  • Must have prior dedicated AI Archiecture and production experience

  • Strong hands-on experience designing and implementing AI, data and cloud architectures within complex enterprise environments.

  • Proven experience architecting and governing large-scale enterprise platforms, ideally involving AI or data-intensive systems.

  • Deep understanding of Generative AI and Agentic AI, including LLM architecture, RAG, prompt engineering, tool calling, multi-agent workflows and agent memory.

  • Experience taking AI solutions beyond prototypes and into secure, scalable production environments.

  • Strong understanding of enterprise architecture, security, governance, compliance and operational resilience.

  • Experience balancing innovation with enterprise requirements around risk, cost, regulation and platform stability.

  • Strong architectural judgement, with the ability to make long-term and high-impact technology decisions.

  • Demonstrated ability to collaborate effectively with stakeholders across multiple countries, cultures and time zones.

  • Degree in Computer Science, Data Science, Engineering, Mathematics or equivalent relevant professional experience.

  • Relevant Azure, AWS, AI/ML or enterprise architecture certifications would be advantageous.


Candidates with experience in roles such as Enterprise AI Architect, Lead AI Architect, AI Platform Architect or Principal Solution Architect who wants to shape enterprise AI strategy while remaining closely involved in practical architecture and delivery, are encouraged to apply.

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