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

Work you'll do

We are seeking a talented and highly-motivated Customer Intelligence Engineer to join our team. This is a hands-on-keyboard role for a builder who is passionate about using AI to understand customer behavior and drive business growth. You will be responsible for rapidly building and deploying robust AI solutions that transform customer data into actionable intelligence.You will focus on turning complex customer-centric requirements into production-ready features, contributing to architectural decisions, and implementing advanced AI patterns to power next-generation personalization, engagement, and service.

Responsibilities:

• Build Customer-Centric AI Systems: Lead the hands-on development of AI-powered systems focused on customer intelligence, such as personalization engines, advanced chatbots, sentiment analysis tools, and customer journey optimizers.
• Architectural Contribution: Contribute to and influence the technical architecture for customer-facing AI solutions, ensuring the designs are robust, scalable, and effective.
• Implement Advanced AI Patterns: Build sophisticated systems that leverage Agentic Architectures, Function/Tool Calling, and advanced RAG to create dynamic and responsive customer experiences.
• Market Intelligence & Innovation: Actively scan the AI landscape for emerging trends in customer experience (CX) and marketing technology. Evaluate new tools and techniques to keep our client solutions at the forefront of the industry.
• Model Selection & Implementation: Provide expert guidance on selecting the best AI models for specific customer intelligence tasks, based on performance, cost, and latency, and then lead the technical integration.
• Champion AI Quality & Testing: Design and execute comprehensive testing strategies to ensure the accuracy, reliability, and fairness of customer-facing AI applications.
• Cross-Functional Collaboration: Work as a deeply embedded member of the project team, collaborating closely with client stakeholders, designers, and strategists to deliver cohesive and impactful solutions.
• Rapid Prototyping & Iteration: Quickly build and iterate on prototypes to validate ideas and demonstrate the potential of AI to enhance the customer experience.

Your role as a leader:

At Deloitte, we believe in the importance of empowering our people to be leaders at all levels. We connect our purpose and shared values to identify issues as well as to make an impact that matters to our clients, people and the communities. Additionally, Consultants across our Firm are expected to:

• Demonstrate a strong commitment to personal learning and development
• Understand how our daily work contributes to the priorities of the team and business
• Understand the set expectations and demonstrate accountability in keeping personal performance on track
• Actively focus on developing effective communications and relationship-building skills with stakeholders, clients and team
• Demonstrate an appreciation for working with others
• Understand what is fundamental to Deloitte’s success as a business
• Demonstrate integrity and an awareness of strengths, differences, and personal impact
• Develop their understanding of Deloitte and offer a fresh perspective

Requirements:

We are looking for a candidate who is a strong software engineer with a deep, practical specialization in applying AI to customer data.

• Expert Software Engineering: Expert-level proficiency in Python/NodeJS is preferred. Strong experience building and deploying production applications using Docker, CI/CD, and robust testing frameworks.
• Practical AI Systems Experience: Proven, hands-on experience building complex AI applications. Experience with customer data platforms, personalization, or marketing technology is a significant plus.
• Knowledge of Advanced AI Patterns: Strong, practical understanding of Retrieval-Augmented Generation (RAG), Agentic Architectures, and Function/Tool Calling.
• AI Model & Framework Expertise: Experience working with a variety of LLM provider APIs (OpenAI, Anthropic, Google, etc.) and AI development frameworks like LangChain, LlamaIndex, or similar.
• AI Testing Acumen: A solid understanding of the challenges in testing LLM-based systems and practical experience in creating evaluation harnesses or testing frameworks.
• Problem-Solving & Agility: A pragmatic problem-solver with a bias for action. You can navigate ambiguity and deliver high-quality work in a fast-paced environment.
• Strong Communication: Ability to clearly explain complex technical concepts to other engineers, product managers, and business stakeholders.