# Principal Knowledge Acquisition Analyst **Company**: Autodesk **Experience**: senior **Job type**: full-time **Salary**: 187,500 PLN - 275,000 PLN **Category**: Data Science **Industry**: Technology **Apply**: https://autodesk.wd1.myworkdayjobs.com/en-US/Ext/job/Poland---Remote/Principal-Knowledge-Acquisition-Analyst_26WD97787-1?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply **Canonical**: https://yubhub.co/jobs/job_2e0b1c7b-fc0 ## Description Autodesk's Technical Advisory organization is building a scalable knowledge platform that transforms implementation expertise from enterprise engagements into structured, reusable, and customer-facing guidance within Workflow Advisory. The Principal Knowledge Acquisition Analyst is responsible for designing and operating the systems that capture and transform knowledge from consulting engagements. This includes building AI-powered extraction and transformation pipelines and ensuring raw implementation data is converted into structured, template-aligned outputs ready for downstream content production. Reporting to the Senior Manager, Content & Knowledge, you will operate at the intersection of consulting delivery, data, and AI systems. You will own the upstream knowledge pipeline,from extracting implementation intelligence to delivering high-quality structured inputs aligned to the content model. In the first year, you will establish scalable AI-assisted capture and transformation pipelines and ensure knowledge is reliably converted into reusable, high-quality outputs. **Responsibilities** **Knowledge Capture and AI Pipelines** - Design and operate AI-powered pipelines to capture knowledge from enterprise systems, meeting transcripts, and engagement artifacts - Define and evolve the conceptual knowledge model, including key entities, relationships, and ontology governance required to organize and retrieve implementation knowledge at scale - Manage and optimize AI agents, including prompt design, evaluation, and performance tuning - Define content-type-specific chunking strategies for consulting artifacts and work with Engineering to implement retrieval-ready knowledge structures - Define requirements and participate in embedding and vectorization evaluation to ensure captured knowledge can be effectively discovered through semantic search and AI-powered retrieval - Define and track quality 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 Structured Ingestion** - Design and operate pipelines that convert raw, unstructured inputs into structured, template-aligned outputs using AI - Map extracted knowledge to defined content model fields, ensuring outputs are complete, consistent, and production-ready - Define structured capture methods (forms, schemas, workflows) to ensure key context (decisions, constraints, trade-offs) is captured - Normalize and standardize data across sources and identify gaps to improve capture and transformation processes - Define entity resolution and canonicalization rules to ensure concepts, terminology, and implementation knowledge are consistently represented across sources **Quality, AI Readiness and Integration** - Ensure structured outputs support AI-driven use cases including vector search, retrieval-augmented generation (RAG), knowledge graph navigation, and downstream content generation - Partner with the Content Model Lead to align transformation outputs with templates and structures - Collaborate with Architecture and Engineering to align knowledge models, retrieval pipelines, and platform data models - Define evaluation criteria for retrieval effectiveness, semantic relevance, and answer quality, and continuously improve knowledge performance through measurement and experimentation **Minimum Qualifications** - 8+ years of experience in knowledge management, information architecture, information systems, semantic technologies, data engineering, or related field - Experience working with AI/LLM-based workflows in production - Experience designing data pipelines, structured capture, or transformation processes - Strong analytical skills with ability to define and improve quality metrics - Experience working cross-functionally with product, engineering, and domain experts **Benefits** - Competitive compensation package including annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package **The Ideal Candidate** - Has built AI-driven knowledge capture or data pipelines at scale - Can transform messy, real-world data into structured, usable outputs - Thinks systemically about data, content, and downstream use - Works effectively across technical and non-technical teams - Focuses on building practical, scalable systems ## Skills ### Required - knowledge management - information architecture - semantic technologies - data engineering - AI/LLM-based workflows - data pipelines ### Nice to have - built AI-driven knowledge capture or data pipelines at scale - transform messy, real-world data into structured, usable outputs --- Source: [Apply at autodesk.wd1.myworkdayjobs.com](https://autodesk.wd1.myworkdayjobs.com/en-US/Ext/job/Poland---Remote/Principal-Knowledge-Acquisition-Analyst_26WD97787-1?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)