AI Solution Architect

About us StackWise is a fast-growing AI startup and consultancy focused on delivering intelligent, scalable, and practical AI solutions. We combine startup agility with deep technical expertise to help businesses unlock the full potential of artificial intelligence.  Our work centers on Generative AI, automation, and cloud-native infrastructure, empowering organizations to innovate rapidly, build smarter systems, and stay ahead in the age of intelligent technology.  About the Role We are seeking a skilled AI Solution Architect with deep expertise in designing and deploying enterprise-grade AI systems. This role is ideal for a technical leader who combines strong architectural vision with hands-on experience in Generative AI, data systems, and Microsoft Azure.  As an AI Solution Architect at StackWise, you will define and implement end-to-end AI architectures, from data pipelines and LLM integration to secure, scalable deployment on cloud infrastructure. You will guide clients through their AI transformation journey, shaping technical strategies and ensuring robust, future-proof solutions.  Key Responsibilities Lead the design and architecture of AI and Generative AI solutions using Microsoft Azure services (e.g., Azure AI Foundry, Azure OpenAI, Cognitive Services, Azure Machine Learning). Define technical roadmaps and ensure alignment between client objectives, solution design, and implementation. Architect and oversee the integration of AI models (LLMs, RAG systems, agent frameworks) into production-grade applications. Collaborate with clients, engineers, and data teams to translate business goals into scalable and maintainable AI architectures. Establish and enforce best practices for AI system design, including security, scalability, performance, and governance. Provide technical leadership in solution design sessions, architecture reviews, and client workshops. Stay at the forefront of AI trends, particularly LLMOps, RAG, and multi-agent systems, and bring innovative approaches to client projects. Support pre-sales and proposal development through solution architecture input and technical storytelling.  Requirements Must-Have Skills and Qualifications Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or related field. 5+ years of experience designing and delivering AI/ML solutions in enterprise environments. Strong proficiency with Microsoft Azure, including Azure AI services, Azure Machine Learning, Azure OpenAI, and related infrastructure. Deep understanding of Generative AI, LLMs, and prompt engineering. Hands-on experience with Python, LangChain, Semantic Kernel, or similar frameworks. Experience architecting and deploying RAG pipelines, vector databases, and model-serving solutions. Familiarity with containerization (Docker/Kubernetes), CI/CD (Azure DevOps), and version control (Git). Excellent communication and presentation skills, with the ability to engage both technical and non-technical stakeholders in both English and Thai.  Preferred Qualifications Experience with LLMOps tools (e.g., Langfuse). Background in consulting or solution architecture roles with enterprise clients. Knowledge of data security, privacy compliance, and responsible AI frameworks. Proven ability to mentor technical teams and contribute to thought leadership in AI architecture. Exposure to multi-agent systems or real-time AI interaction architectures.  What We Offer Competitive salary with performance-based bonuses. Work with a highly skilled, mission-driven team in a fast-growing AI consultancy. Opportunity to lead and contribute to impactful GenAI projects across industries. Flexible working arrangements and a focus on work-life balance. Access to continuous learning and professional development resources. A collaborative and supportive culture that values innovation, ownership, and transparency. Chance to shape the future of AI adoption in real businesses.  How to Apply If this sounds like the right role for you, send your resume and a short cover letter to info@stack-wise.co.uk or apply directly via LinkedIn.