AI Technical Solution Specialist (in-house)

Job Title: AI Solutions Specialist Department: PwC Digital Job summary As an AI Solutions Specialist within PwC Thailand’s Digital team, your role contributes to understanding business needs, business processes, and improvement opportunities, then translating them into practical, scalable AI and Agentic AI solutions. This position is suitable for Senior Associate level and above, with focus on gathering requirements, analysing current ways of working, shaping future human + AI processes, and supporting delivery with technical teams. Experience with Microsoft tools is a plus, but experience with other enterprise AI or automation platforms such as GPT Enterprise, Claude, or similar market tools is also relevant. The role requires strong problem-solving, critical thinking, communication skills, and the ability to work with stakeholders from different specialties. Key Responsibilities · Business needs and process improvement: Work with users to understand business needs, current processes, expected outcomes, and opportunities to improve work through practical human + AI processes. · Technical product ownership: Support solution planning, prioritization, coordination, and delivery by bridging business stakeholders and technical teams. · AI / Agentic AI solution delivery: Support the design, build, testing, and rollout of AI-enabled solutions, agentic workflows, and practical digital tools using suitable platforms. · Stakeholder engagement: Communicate clearly with business users, technical teams, and stakeholders from different specialties to align needs, expectations, and solution direction. · Continuous learning and adaptability: Demonstrate willingness to quickly learn new AI tools, agentic AI frameworks, enterprise platforms, and delivery practices within the probation period and beyond. · Problem-solving and critical thinking: Apply structured thinking, sound judgement, and initiative to solve business and process challenges with practical outcomes. Qualifications: · Bachelor’s degree in business information systems, computer science, computer engineering, data science, information technology, or a related discipline. · 2 – 5 years’ experience in AI solution delivery, Technical business analysis, process improvement, digital product coordination, automation, or related business technology work. · Ability to work with users and stakeholders to gather requirements, understand business processes, identify improvement opportunities, shape human + AI solution options, and support delivery outcomes. · Consulting or cross-functional project experience is advantageous. Required technical skills: · Hands-on experience with AI, Agentic AI, enterprise AI, or automation tools for designing, building, and supporting business solutions. Experience with Microsoft Copilot Studio, Power Automate, Power Apps, GPT Enterprise, Claude, or similar platforms is a plus. · Strong prompt engineering capability to design, test, and refine prompts that support business use cases and improve solution reliability and response quality. · Understanding of data handling, data transformation, workflow design, and system integration concepts to support end-to-end digital solution delivery. · Ability to translate business requirements into functional solution designs, process flows, and technical specifications. · Practical knowledge of AI-enabled solution design, agentic workflow concepts, automation patterns, API connectivity, and integration with enterprise systems. · Familiarity with enterprise platform governance, security, and scalable deployment considerations. Microsoft Azure, Dataverse, or connector experience is advantageous but not mandatory. Soft skills: · Strong problem-solving, critical thinking, and analytical abilities. · Effective communication and stakeholder management skills, with the ability to ask good questions, clarify requirements, and explain technical concepts to non-technical audiences. · Ability to collaborate with stakeholders from different specialties and balance business needs with technical feasibility in a structured manner. · Adaptability, learning agility, and willingness to work in dynamic environments.