Job Summary

Accenture is looking for a seasoned AI Architect at a senior level to lead large-scale AI and Generative AI transformation projects for our clients across industries in Thailand. You will serve as the senior technical authority on AI architecture, guiding clients from strategy through delivery while growing Accenture's AI practice.

Key Responsibilities

• Define and lead end-to-end AI architecture for enterprise programs — from LLM / GenAI solutions to MLOps platforms and data foundations.
• Serve as the primary AI technology advisor to C-suite and senior client stakeholders, translating business challenges into scalable AI solutions.
• Architect AI systems leveraging hyperscaler platforms (AWS, Azure, GCP) including cloud-native AI/ML services, vector databases, and foundation model APIs.
• Lead technical pre-sales: shape proposals, respond to RFPs, and present solution architectures to clients.
• Manage and mentor a team of AI engineers, data scientists, and solution architects across client engagements.
• Drive practice development — define AI delivery frameworks, reusable assets, and capability-building programs.
• Collaborate with Accenture global AI CoEs, Applied Intelligence teams, and alliance partners
• Ensure responsible AI principles, security, and governance are embedded throughout solution design.

Qualifications & Experience

• 12+ years of experience in technology consulting or enterprise IT, with at least 5 years focused on AI/ML architecture and delivery.
• Proven track record architecting and delivering production-grade AI solutions — LLMs, RAG pipelines, agentic AI, computer vision, or predictive analytics.
• Deep hands-on knowledge of AI/ML frameworks
• Strong experience with hyperscaler AI platforms: Azure OpenAI Service, AWS Bedrock, Google Vertex AI, or equivalent.
• Experience leading large multi-disciplinary teams and managing complex, multi-million dollar client programs is a big plus.
• Excellent communication skills — able to present technical concepts to executive audiences in Thai and English.
• Bachelor's or Master's degree in Computer Science, Engineering, or related field.