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Role Summary:
- Lead the architecture of a next-generation LLM enrichment pipeline within an enterprise Knowledge Graph for a global CPG/Food leader.
- Leverage Microsoft Fabric IQ and Azure OpenAI to transform unstructured product data into high-value, structured metadata at scale.
Key Responsibilities:
- Design taxonomy for LLM classification and iterate prompts for entity classification across products, recipes, and ingredients.
- Build evaluation harnesses to measure enrichment accuracy, coverage, and drift; implement human-in-the-loop review workflows.
- Support entity resolution and document taxonomy decisions, prompt versions, and evaluation results.
Required Qualifications:
- Solid ML/AI engineering experience with hands-on LLM classification or enrichment pipeline work.
- Strong Python skills; prompt engineering and structured output generation (JSON schemas, function calling).
- Hands-on experience with Azure OpenAI or equivalent LLM API; experience with evaluation frameworks and human-in-the-loop workflows.
ArcTouch
ArcTouch creates lovable apps, websites, and connected experiences for world-class companies and innovative startups. It is a specialty studio within the award-winning AKQA Group, with a culture that values collaboration, diversity, and building products people love.