Job Scope
Responsible to lead complex solution engagements, influence client technology roadmaps, and drive adoption of emerging AI capabilities across leading financial institutions and enterprises in the region. He/she will act as the primary technical authority bridging sales, clients, and internal product/development teams. This role will design, position, and support the delivery of advanced AI solutions including Agentic AI, AI-CX, AI/ML applications, and AI infrastructure, tailored to clients.
Job Responsibilities
1) Pre-Sales Leadership & Client Engagement
- Lead and drive pre-sales efforts and technical sales for the AI Solutions team across Hong Kong and Asia markets
- Conduct discovery workshops, technical assessments, and solution presentations with C-level and senior stakeholders
- Act as the trusted technical advisor throughout the sales cycle, translating business challenges into compelling AI solution architectures
- Lead and support RFP/RFI responses, proof-of-concept design, and commercial proposal development
2) Solution Design & Development Collaboration
- Liaise between client IT and business functions to define and prioritise business solutions that deliver measurable value
- Design end-to-end AI solutions spanning Agentic AI, AI-CX, AI/ML models, and the AI infrastructure
- Collaborate closely with Product Owners and development teams to shape solution roadmaps, features, and go-to-market readiness
- Ensure solutions are scalable, secure, compliant, and aligned with regional regulatory requirements (especially in FSI)
3) Partnerships & Ecosystem Development
- Build and manage strategic partnerships with third-party technology providers, FinTech innovators, and complementary solution vendors
- Identify, evaluate, and integrate external IP and solutions to create comprehensive, differentiated offerings
- Drive solution co-creation and ecosystem enablement across the Asia region
4) Technology Advocacy & Thought Leadership
- Promote the application of emerging AI technologies within client organisations and internal teams
- Stay ahead of market trends in Agentic AI, conversational AI, enterprise productivity AI, and AI infrastructure
- Contribute to thought leadership through workshops, webinars, case studies, and internal knowledge sharing
- Mentor junior consultants and engineers on technical positioning and solution best practices
Job Requirements
- Bachelor’s degree or above in Computer Science, Artificial Intelligence, Information Technology, Engineering, or a related discipline
- Relevant professional certifications (e.g., cloud AI certifications from AWS, Azure, Google Cloud; AI/ML specialisations) preferred
- Minimum 10 years of progressive experience in technical pre-sales, solution architecture, or sales engineering roles, with significant focus on AI solutions in recent years
- Proven track record designing and supporting AI solutions (Agentic AI, AI-CX/voicebots, GenAI/RAG, or AI infrastructure) for FSI clients and large enterprises, preferably in Hong Kong and/or Asia markets
- Hands-on experience leading complex pre-sales cycles from discovery and solution design through to proposal and technical win
- Background as a Solution Architect or Sales Engineer in AI-focused, enterprise software, or digital transformation organisations is strongly preferred
- Experience building and leveraging technology partner ecosystems is an advantage
- Strong practical knowledge and experience with Agentic AI and multi-agent systems (orchestration frameworks, tool/function calling, autonomous workflows)
- Solid understanding of Generative AI / LLM technologies, including RAG architectures, prompt engineering, embeddings, and vector databases
- Knowledge of AI/ML platforms, model lifecycle management, and MLOps / LLMOps practices
- Knowledge of AI infrastructure concepts (cloud AI services such as Azure OpenAI, AWS Bedrock, GCP Vertex AI; GPU-accelerated environments; model serving and scaling)
- Ability to design scalable, secure, and compliant end-to-end AI solution architectures suitable for enterprise and FSI environments
- Good understanding of FSI use cases (customer experience, operations, risk, compliance) and general Enterprise AI productivity applications
- Awareness of regional data residency, privacy, AI governance, and regulatory considerations (especially relevant to Hong Kong and Asia markets)
- Excellent consultative selling, discovery, and presentation skills to engage both technical teams and senior business stakeholders
- Fluent in English and Cantonese; Mandarin is a significant advantage