We are designing and building a Category Intelligence Engine (CIE) on the client's AWS workplace. The platform combines a governed procurement data foundation with an LLM-based intelligence layer that converts purchase order, contract, specification and market data into strategic recommendations. The engineer is a core member of our Data and Intelligence Layer Enablement workstream and will work closely with Kearney consultants, client functional and tech stakeholders.
Scope of the role
Build and harden the intelligence layer on Amazon Bedrock, build 3 interconnected agents
Implement retrieval over procurement documents (specifications, contracts, industry price circulars, tender data) using hybrid search (keyword and vector retrieval),
with appropriate chunking and re-ranking
Establish the agent harness: tool orchestration, structured outputs, guardrails, evaluation sets and regression testing, ensuring outputs are reproducible and defensible with the client
Develop document extraction pipelines (Textract / Bedrock) for specification and contract PDFs
Build backend services (Lambda, API Gateway, Cognito) supporting the React front end
Request your help in getting a couple of solid FDEs for quick evaluation and deployment.