AI Solutions Architect

We are seeking an experienced AI Solutions Architect to take the lead in designing, architecting, and implementing AI-powered solutions across our range of enterprise software products.In this position, you will establish the company’s AI technology strategy, assess new and emerging AI technologies, develop intelligent AI agents, and lead the engineering team in building secure, scalable, and production-ready AI solutions.You will collaborate closely with product managers, software architects, and development teams to incorporate AI into our cloud-based and on-premise applications, including accounting, payroll, point-of-sale (POS), and other business software.This is a hands-on technical leadership position that requires strong knowledge of software architecture, practical experience in developing AI systems for production, and the ability to mentor engineers while encouraging the adoption of AI across the organization.Key ResponsibilitiesAI Strategy & Technical LeadershipEstablish and lead the company’s AI technology roadmap.Develop the overall AI architecture for multiple software products.Assess emerging AI technologies and recommend practical ways to adopt them.Establish standards, architecture principles, and engineering best practices for AI development.Lead AI projects from the initial concept through to technical implementation and production.Work with product owners and engineering teams to identify AI opportunities that can provide significant value.Guide and mentor software engineers in AI technologies, architecture, and implementation best practices.Encourage knowledge sharing about AI and promote strong technical standards across the engineering organization.AI Agent DevelopmentDesign and develop intelligent AI agents that can automate business processes and support end users.Develop agentic workflows that involve planning, reasoning, memory, and task execution.Build AI agents that can securely connect with APIs, databases, enterprise systems, and external services through tool or function calling.Develop multi-agent architectures when needed.Continuously enhance the reliability, accuracy, performance, and user experience of AI agents.Retrieval-Augmented Generation (RAG)Design and develop scalable Retrieval-Augmented Generation (RAG) systems.Develop pipelines for collecting, processing, indexing, and managing documents and knowledge.Improve document chunking, embedding methods, hybrid search, reranking, and overall retrieval quality.Assess retrieval effectiveness using measurable performance metrics.Minimize AI hallucinations and continuously enhance the quality of generated answers.Develop reusable knowledge retrieval services that can be used across different products.Large Language Model (LLM) IntegrationIncorporate commercial and open-source Large Language Models (LLMs) into enterprise software.Assess AI models based on factors such as quality, response speed (latency), scalability, operating costs, and licensing requirements.Apply prompt engineering, structured outputs, tool or function calling, and model evaluation techniques.Develop strategies for selecting appropriate models and creating backup or fallback options.Monitor AI responses and continuously improve their quality.AI Platform & Enterprise IntegrationDevelop reusable AI services and shared infrastructure that can support multiple software products.Integrate AI capabilities into both cloud-based and on-premise enterprise applications.Design scalable APIs and backend services to support AI components.Connect AI solutions with existing business systems, databases, APIs, and third-party services.Ensure AI solutions are secure, scalable, easy to maintain, and cost-efficient.Work closely with frontend, backend, DevOps, QA, and product teams throughout the entire software development lifecycle.AI Evaluation, Quality & OperationsDevelop evaluation frameworks to assess AI quality, accuracy, response time, and user satisfaction.Establish regression testing procedures for prompts, RAG systems, and AI agents.Monitor AI systems in production and continuously improve their performance and reliability.Optimize AI infrastructure, token consumption, and operational expenses.Investigate and resolve production-related AI issues while driving ongoing improvements.AI Governance & SecurityApply AI security best practices and establish appropriate safeguards.Ensure confidential customer and business information is handled securely.Develop AI systems that meet privacy, security, and regulatory requirements.Implement responsible AI practices to minimize hallucinations, harmful outputs, and data leaks.Monitor AI usage, costs, performance, and overall operational health.

Requirements:

Bachelor’s Degree in Computer Science, Software Engineering, Artificial Intelligence, Information Technology, or a related field.Minimum 5 years of professional experience in software development.Minimum 3 years of hands-on experience designing and building AI or LLM-powered applications.Proven experience deploying AI applications into production environments.Strong software architecture and system design experience.Experience leading technical projects and mentoring development teams.Strong programming skills in C#/.NET or similar enterprise development platforms.Experience designing scalable backend systems and RESTful APIs.Experience working with cloud infrastructure and containerized applications.

Benefits:

Standard 5-day work weekParking subsidy providedComplimentary coffee, tea, biscuits, snacks, and more available in the office Medical, Dental and Optical benefits, Hospitalization & Surgical Insurance and Group Personal Scheme.Comprehensive training and guidance to support your learning and developmentSmart casual dress codeCelebrate birthdays and festive occasions together with the teamTeam sports activities such as badminton and pickleball.

Why Join Us:

Join a fun and fast growing team, vibrant and youthful.Be part of our journey as we strive to become one of the most preferred brands across Asia.Enjoy a stable and supportive work environment with equal opportunities for learning, development, and career growth.Receive a competitive salary and comprehensive benefits package.Have the freedom to share ideas and embrace creativity and innovation to drive continuous improvement.Maintain transparent two-way communication between employees, management, and customers.We encourage work life balance practice in the company.Work in a friendly, welcoming, and positive environment.