Position overviewPosted 2 weeks ago

T&T Consultant - Deloitte Digital (Customer Intelligence) - TH

Deloitte →
Not specifiedNot specified

Bangkok

Compensation
THB 45,000 - THB 75,000
THB / month

Estimated range. Confirm compensation with the employer.

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Listing record updated: October 8, 2026. We archive records after 60 days without an update. This date does not confirm that the employer is still hiring.

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About the position

Deloitte is hiring a Consultant-level Customer Intelligence Engineer in Bangkok to work within Deloitte Digital, focusing on customer experience. The role involves hands-on development of AI-powered customer intelligence systems such as personalization engines, advanced chatbots, sentiment analysis tools, and customer journey optimizers, contributing to technical architecture and implementing advanced AI patterns like RAG, Agentic Architectures, and Function/Tool Calling.

The consultant will collaborate with client stakeholders, designers, and strategists, prototype solutions, evaluate AI models, and ensure quality through rigorous testing. Requirements include expert proficiency in Python or Node.js, experience with Docker, CI/CD, LLM provider APIs, and frameworks such as LangChain or LlamaIndex, plus strong communication and problem-solving skills.

Responsibilities

Build Customer-Centric AI Systems such as personalization engines, chatbots, sentiment analysis tools, and customer journey optimizers

Contribute to and influence technical architecture for customer-facing AI solutions

Implement advanced AI patterns including Agentic Architectures, Function/Tool Calling, and RAG

Provide expert guidance on AI model selection and lead technical integration

Design and execute testing strategies to ensure accuracy, reliability, and fairness of customer-facing AI applications

Requirements

Expert-level proficiency in Python or Node.js with experience deploying production applications using Docker, CI/CD, and testing frameworks

Proven hands-on experience building complex AI applications; customer data platforms, personalization, or martech is a plus

Strong practical understanding of RAG, Agentic Architectures, and Function/Tool Calling

Experience with LLM provider APIs (OpenAI, Anthropic, Google) and frameworks like LangChain or LlamaIndex

Solid understanding of testing LLM-based systems and strong communication skills

Nice to have

Experience with customer data platforms, personalization, or marketing technology

Hiring Process

Only shortlisted candidates will be notified due to volume of applications

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