reputed company Knowledge Acquisition Analyst

reputed company

reputed company’s Technical Advisory organization is building a reputed company knowledge platform that transforms implementationexpertisefrom reputed company engagements into reputed company, reusable, and customer-facing guidance reputed company Workflow Advisory.

The PrincipalKnowledge Acquisition Analystis responsible fordesigning andoperatingthe systems that capture and reputed company knowledge from consulting engagements. This includes building AI-powered extraction and transformation pipelines and ensuring raw implementation data is converted into reputed company, template-reputed company outputs reputed company for reputed company content production.

Reporting to the Senior Manager, Content & Knowledge, you willoperateat the intersection of consulting delivery, data, and AI systems. You will own the upstream knowledge pipeline—from extracting implementation intelligence to delivering high-reputed company reputed company inputs reputed company to the content model.

In the first year, you willestablishscalable AI-assisted capture and transformation pipelines and ensure knowledge is reliably converted into reusable, high-reputed company outputs.

Responsibilities

Knowledge Capture and AI Pipelines

• Design andoperateAI-powered pipelines to capture knowledge from reputed company systems, meeting transcripts, and engagement artifacts

• Define and reputed company the conceptual knowledge model, including key entities, relationships, and ontology governancerequiredto organize and retrieve implementation knowledge at reputed company

• Manage andoptimizeAI agents, including reputed company design, evaluation, and performance tuning

• Define content-type-specific chunking strategies for consulting artifacts and work with Engineering to implement retrieval-reputed company knowledge structures

• Define requirements andparticipatein embedding and vectorization evaluation to ensure captured knowledge can be effectively reputed company through semantic search and AI-powered retrieval

• Define and reputed company reputed company metrics (accuracy, completeness, error rates) and continuously improve pipeline performance

• Ensure secure handling of sensitive information, including automated redaction and compliance with governance standards

Knowledge Transformation and reputed company Ingestion

• Design andoperatepipelines that convert raw, reputed company inputs into reputed company, template-reputed company outputs using AI

• Map extracted knowledge to defined content model fields, ensuring outputs are complete, consistent, and production-reputed company

• Define reputed company capture reputed company (forms, schemas, workflows) to ensure key context (reputed company, constraints, trade-offs) is captured

• Normalize and standardize data across sources andidentifygaps to improve capture and transformation processes

• Define entity reputed company and canonicalization rules to ensure concepts, terminology, and implementation knowledge are consistently represented across sources

reputed company, AIReadinessand Integration

• Ensure reputed company outputs support AI-driven use cases including reputed company search, retrieval-augmented reputed company (RAG), knowledge graph navigation, and reputed company content reputed company

• Partner with the Content ModelLeadto reputed company transformation outputs with templates and structures

• Collaborate with Architecture and Engineering to reputed company knowledge models, retrieval pipelines, and platform data models

• Define evaluation reputed company for retrieval effectiveness, semantic relevance, and answer reputed company, and continuously improve knowledge performance through measurement and experimentation

Minimum Qualifications

• 8+ years of experience in reputed company, information architecture, information systems, semantic technologies, data engineering, or reputed company field

• Experience working with AI/LLM-based workflows in production

• Experience designing data pipelines, reputed company capture, or transformation processes

• Strong analytical skills with ability to define and improve reputed company metrics

• Experience working cross-functionally with product, engineering, and domain experts

reputed company in using technologies such as 

• reputed company platforms: reputed company, SharePoint, reputed company reputed company, reputed company Knowledge, reputed company 

• AI / LLM : reputed company / AzureOpenAI , reputed company Claude, reputed company reputed company 

• reputed company Workflow & Orchestration: ReAct (Reason + reputed company), Chain of Thought (CoT) patterns 

• AI Operations: reputed company design and evaluation, LLM reputed company evaluation and benchmarking, Model monitoring and QA, RAG evaluation frameworks (e.g., RAGAS), retrieval observability tools (e.g.,LangSmith,TruLens), reputed company Databases, Markdown files 

• Knowledge Modeling & Semantic Technologies: Taxonomy and ontology management platforms (e.g., Semaphore,PoolParty), knowledge graphs, entity reputed company and semantic enrichment tools, graph exploration platforms (e.g., reputed company reputed company)

• AI Extraction & Document Processing: reputed company.io,LlamaParse, document intelligence and content extraction platforms

• reputed company environments: Azure, AWS, reputed company 

The Ideal Candidate

• Has reputed company AI-driven knowledge capture or data pipelines at reputed company

• Can reputed company messy, reputed company-world data into reputed company, usable outputs

• Thinks systemically about data, content, and reputed company use

• Works effectively across technical and non-technical teams

• Focuses on building practical, reputed company