Data Engineering and Integration: Build the data and knowledge pipelines required for AI use cases, with a focus on reliable ingestion, preparation, retrieval, and access-control-aware use of information.
-Product Demo & PoC: deliver product demos, workshops, and technical presentations; plan and execute PoC projects aligned with client expectations and success criteria
Develop process maps, workflow diagrams, data flows, and solution blueprints using BPMN, value stream mapping, swim-lane diagrams, or similar methodologies.
Develop the conceptual design and solutioning, incorporating a mix of in-house products, outsourced commercially-off-the-shelf products, and/or co-developed capabilities with external stakeholders, that can address the prioritised AI use cases.
Design and implement RAG pipelines and LLM application workflows (prompting, retrieval, tool calling, agents), and expose them as reliable, scalable services.
Data Engineering and Integration: Build the data and knowledge pipelines required for AI use cases, with a focus on reliable ingestion, preparation, retrieval, and access-control-aware use of information.