AI Solution Architect (GenAI)

TL;DR

AI Solution Architect (GenAI): Architecting and deploying production-grade AI solutions (RAG, Agent workflows) for large enterprises with an accent on integrating proprietary commercial data into ERP, CRM, and risk management systems. Focus on operationalizing GenAI stacks, ensuring enterprise-grade compliance in regulated financial markets, and bridging technical trade-offs with C-suite business cases.

Location: On-site in Hong Kong

Company

Global provider of commercial data and insights powering intelligent decision-making for the world's largest enterprises.

What you will do

• Design and deliver production-grade AI solutions including RAG pipelines, Agent workflows, and predictive analytics.
• Translate complex engineering trade-offs into business cases for C-suite, VP, and Head of Data stakeholders.
• Ensure all deployments comply with SOC 2, ISO 27001, and regional regulations including China PIPL and Hong Kong PDPO.
• Manage the full deployment lifecycle in 6–12 week timeboxes from ambiguous requirements to working prototypes.
• Channel live client insights back to internal Product and AI Labs to refine data APIs and model performance.

Requirements

• 7+ years of software engineering experience with Python, SQL, and Java or Go.
• Expertise in cloud infrastructure (AWS/Azure/GCP) and data pipelines (Airflow, Spark).
• Hands-on experience with the GenAI stack: LLMs, vector databases, retrieval architecture, and frameworks like LangChain, LangGraph, or DSPy.
• 3+ years in consulting, solutions engineering, or client-embedded technical roles within regulated industries.
• Business fluency in English and Mandarin (written and spoken).
• Working knowledge of data privacy and security frameworks such as SOC 2, FedRAMP, or HIPAA.

Nice to have

• Experience at top-tier consulting firms or AI-native enterprises with embedded deployment models.
• Deep domain expertise in commercial credit data, supply chain risk, or KYB/KYC workflows.
• Published work, conference speaking, or open-source contributions in applied AI or data engineering.
• Fluency in Cantonese.

Culture & Benefits

• Opportunity to work at the intersection of global data networks and cutting-edge AI infrastructure.
• Exposure to high-stakes problem solving in one of the world's most regulated financial centers.
• High-agency environment with direct impact on product-market feedback loops.