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Accenture Southeast Asia Linkedin · Posted 2d ago

AI Engineer

Bangkok

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About The Role

Join Accenture's Artificial Intelligence team and help shape the future of enterprise AI. As an AI/ML Architecture Specialist, you will play a key role in designing scalable AI platforms and architecture that enable organizations to accelerate innovation, operationalize machine learning, and drive business transformation. Working closely with cross-functional teams, you will evaluate emerging technologies, define AI strategies, and build secure, governed, and high-performing AI solutions at enterprise scale.

Key Responsibilities

  • Design, develop, and evolve enterprise-scale AI and machine learning architecture frameworks, standards, and technical capabilities.
  • Evaluate and compare emerging technologies, platforms, and tools to recommend optimal solutions aligned with business and technical requirements.
  • Define implementation roadmaps for deploying and scaling AI foundations across enterprise environments.
  • Architect and operationalize end-to-end AI platforms that support model development, deployment, monitoring, and governance.
  • Assess and integrate technologies across data platforms, machine learning operations (MLOps), AI services, security, and governance frameworks.
  • Design and develop custom architectural components that enhance scalability, reliability, and performance of AI ecosystems.
  • Optimize compute infrastructure and platform performance to improve model training, inference, observability, and operational efficiency.
  • Implement AI governance frameworks, including responsible AI practices, security controls, risk management, and monitoring mechanisms.
  • Collaborate with stakeholders, data scientists, engineers, and business teams to deliver innovative AI solutions and drive successful outcomes.

    • Required Qualifications

  • Bachelor's degree in Computer Science, Information Technology, Engineering, Data Science, or a related field.
  • Minimum 5 years of experience in AI, machine learning, data platforms, cloud architecture, or related technology domains.
  • Intermediate proficiency in Machine Learning concepts, methodologies, and implementation practices.
  • Experience designing or supporting scalable data, analytics, or AI platforms.

  • Understanding of system architecture, cloud technologies, and modern software engineering principles.
  • Strong analytical, problem-solving, and communication skills with the ability to collaborate across multiple teams.
  • Ability to work in a dynamic environment and manage multiple priorities effectively.

    • Preferred Qualifications

  • Intermediate proficiency in AI Agents and agentic AI frameworks.
  • Intermediate proficiency in Database Architecture and data platform design.
  • Intermediate proficiency in Foundation Models and Large Language Models (LLMs).
  • Experience with Foundation Model Fine-Tuning and Large Language Model Fine-Tuning techniques.
  • Knowledge of MLOps, AI governance, responsible AI, and model lifecycle management.
  • Experience working with enterprise cloud platforms and AI services.
  • Relevant AI, machine learning, cloud, or architecture certifications.

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