JOB DESCRIPTION
Drive the adoption and optimization of Generative AI capabilities to empower business decision-making. Reporting to the Senior Analytics Manager, this person works closely with business stakeholders and data teams to translate complex business needs into highly optimized LLM prompts, agentic workflows, and conversational AI logic.
Prompt Engineering & Solutioning
Translate complex business requirements and natural language queries into precise, effective, and scalable Large Language Model (LLM) prompts
Design, test, refine, and version-control prompts tailored for our default ecosystem (Google Cloud Platform, Databricks, and Gemini)
Design specialized prompts and system instructions for AI agents, enabling them to perform multi-step reasoning, tool-use, and autonomous task execution
Design context-aware prompts that effectively utilize Retrieval-Augmented Generation (RAG) frameworks to ground AI responses in proprietary business data
Evaluate prompt performance and underlying models, making iterative improvements to ensure high-quality, hallucination-free, and contextually accurate AI outputs
Deconstruct complex business problems into logical steps that an LLM can process and answer effectively
AI Integration & Reporting
Design and optimize the conversational logic, underlying prompts, and intent-recognition rules that power AI chat interfaces for our primary reporting tool, Enterprise Looker. Partner with data engineers to ensure semantic layers, data definitions, and metadata are structured effectively for Gemini to query and interpret accurately
Facilitate feedback loops between end-users and technical teams to continuously refine and improve AI-driven reporting tools
Work closely with Data & AI engineers to ensure prompt engineering efforts integrate smoothly with underlying data pipelines within GCP and Databricks
Partner with AI Engineers on RAG and agent orchestration implementations, providing feedback on retrieval quality, data chunking strategies, and semantic search effectiveness to optimize the context fed into the LLMs
Innovation & Knowledge Sharing
Stay up to date on industry best practices and emerging technologies in Generative AI and prompt engineering
Document prompt engineering best practices, create prompt libraries, and act as a subject matter expert on prompt design and LLM behaviour
Collaborate with the broader Analytics team to transfer knowledge and upskill stakeholders on interacting effectively with AI tools
Support the organization on ad-hoc AI and analytics projects
Bachelor’s degree or higher in Data Science, Computer Science, Business Analytics, or a related field
3+ years in AI/ML, Data Science, or NLP engineering, with hands-on experience in advanced prompt engineering, custom AI agent configuration (e.g., Gemini Gems, Custom GPTs), and conversational analytics.
Hands-on experience working within Google Cloud Platform (GCP) and Google Workspace (GWS) environments
Deep expertise in crafting prompts for Google Gemini (knowledge of other major LLM families like OpenAI GPT or Anthropic Claude is a strong plus)
Familiarity with Looker Studio and experience building or integrating conversational AI/chatbots with BI dashboards
Excellent communication and presentation skills, with the ability to translate technical AI concepts for business stakeholders
Self-motivated and proactive with a can-do attitude and ability to work on projects and solve problems independently
Ability to work collaboratively in a team and adapt to a fast-paced environment
We are dedicated to fostering a family-friendly culture and work environment. We are an equal opportunities employer and welcome applications from all candidates with the required skills and experience. We enable fair pay within the company by creating non-discriminatory salary systems. Working at Lidl & Kaufland Asia is rewarding, in every sense, because we give you the training to succeed in your role and plenty of opportunities to progress your career here. We are accredited as a Fair and Progressive employer by the Tripartite Alliance for Fair and Progressive Employment Practices (TAFEP).
Market Leading Remuneration Package:
Annual wage supplement and discretionary bonus
Life Insurance
Medical Insurance
Supportive Environment:
Out of Office leave for important appointments
In-house training courses
Training sponsorship scheme
Work-life Balance:
5-day week
Competitive Annual Leave
Charity, Community and Sporting Events