AI Architect / AI Engineer / AI Transformation Lead - Insurance

One Arrow Consulting Group; Hong Kong; On-site; HKD 800,000 - 1,500,000; Full time

Job summary

One Arrow Consulting Group in Hong Kong seeks an experienced Lead AI Architect to steer enterprise transformation programs and build AI centers of excellence. You will partner with the business heads in Life, Medical, Claims, and Distribution to drive AI adoption and tangible ROI.

Lead the design of scalable multi-cloud AI infrastructure, establish guardrails, and oversee secure data pipelines. You will mentor cross-functional teams and ensure compliance with PDPO and regulatory standards.

Qualifications

• 10+ years of leading large-scale digital transformation or technology consulting projects in Financial Services.
• Strong baseline knowledge of GenAI and ML in production.
• Excellent executive communication; bilingual English and Cantonese/Mandarin preferred for regional stakeholders.

Responsibilities

• Strategic Roadmap: Partner with business heads to drive AI adoption across the enterprise.
• Financial & Project Governance: Define ROI frameworks, manage budgets and SLAs.
• Change Management: Lead cross-functional squads to adopt AI-assisted workflows.
• Regulatory Liaison: Coordinate with Risk, Legal, and Compliance to ensure PDPO/IA compliance.
• Target State Blueprinting: Design scalable multi-cloud AI infrastructure integrated with legacy systems.
• Enterprise Guardrails: Architect caching, context-window compression, and model routing layers.
• Data & Retrieval Architecture: Blueprint secure vector databases with hybrid-search.
• Technical Evaluation: Establish automated assessment frameworks to monitor hallucination, bias, and data leakage risks.

Skills

Executive communication

Bilingual English Cantonese/Mandarin

Digital transformation leadership

Financial services domain knowledge

AI strategy & governance

Tools

Azure AI

AWS Bedrock

Alibaba Cloud

LangGraph

LangChain

CrewAI

vLLM / Triton

Job description

Major insurers are scaling up production ecosystems utilizing Agentic AI, Multi-Agent workflow orchestration, and Layout-Aware Document Intelligence, and looking for talents in Enterprise Transformation Teams and newly established AI Centers of Excellence.

Key Responsibilities

• Strategic Roadmap: Partner with business heads (Individual Life, Group Medical, Claims, Agency Distribution) to target friction points and drive broad AI adoption across the enterprise
• Financial & Project Governance: Define clear ROI frameworks for AI initiatives, navigating the "buy vs. build" paradigm, managing vendor SLAs, and controlling budget allocation
• Change Management: Lead cross-functional squads to ensure front-line agents, underwriters, and claims adjusters smoothly transition to AI-assisted workflows
• Regulatory Liaison: Act as the primary bridge between technical teams and Risk, Legal, and Compliance to ensure all pipelines honor Personal Data (Privacy) Ordinance (PDPO) and IA guidelines.

Requirements

• 10+ years of experience leading large-scale digital transformation or technology consulting projects within Financial Services
• Strong baseline knowledge of what GenAI and ML can (and cannot) realistically achieve in production
• Exceptional executive communication skills; bilingual fluency (English and Cantonese/Mandarin) is highly preferred for regional stakeholder management.

Lead AI Architect

Key Responsibilities

• Target State Blueprinting: Design scalable, secure multi-cloud AI infrastructure (Azure AI, AWS Bedrock, or Alibaba Cloud) integrated deeply with legacy core systems .
• Enterprise Guardrails: Architect robust semantic caching frameworks, context-window compression techniques, and model routing layers to maximize throughput and minimize token expenditure.
• Data & Retrieval Architecture: Blueprint highly secure, low-latency Vector Database frameworks (Pinecone, Milvus, or Qdrant) alongside hybrid-search and Agentic RAG patterns.
• Technical Evaluation: Establish strict automated assessment frameworks (e.g., Ragas, TruLens) to continuously monitor hallucination, bias, and data leakagerisks.

Requirements

• 7+ years in solution architecture, with a minimum of 2 years spent explicitly designing production-grade LLM or machine learning pipelines.
• Deep knowledge of cloud-native infrastructure, microservice mesh, and enterprise security boundaries (e.g., private endpoints, IAM policies).
• Proven experience working alongside security and data governance officers in highly regulated environmentsvironments.

Key Responsibilities

• Agentic Framework Engineering: Write clean, production-ready Python and SQL to develop complex multi-agent workflows utilizing tools like LangGraph, LangChain, or CrewAI.
• Intelligent Document Processing (IDP): Build state-of-the‑art layout‑aware document extraction pipelines using advanced OCR models to instantly ingest medical receipts and policy bindings.
• MLOps & Serving: Containerize applications using Docker and Kubernetes, deploying low‑latency model inference endpoints via vLLM or Triton Inference Server.
• Rapid Prototyping: Turn abstract business requirements into high‑fidelity functional Proofs‑of‑Concept (PoCs) in 2‑week sprint cycles, then scale them seamlessly into microservices.

Requirements

• 5 years of strong backend software engineering experience with expert‑level proficiency in Python.
• Hands‑on portfolio demonstrating deployment of LLM‑based systems, fine‑tuning open‑weight models (e.g., Llama, Qwen), or advanced vector‑search optimizations.
• Strong alignment with Agile methodologies, Git workflows, and CI/CD automation.