Job Requisition ID #26WD97787Position OverviewAutodesk'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.

ResponsibilitiesKnowledge Capture and AI PipelinesDesign and operate AI-powered pipelines to capture knowledge from enterprise systems, meeting transcripts, and engagement artifactsDefine and evolve the conceptual knowledge model, including key entities, relationships, and ontology governance required to organize and retrieve implementation knowledge at scaleManage and optimize AI agents, including prompt design, evaluation, and performance tuningDefine content-type-specific chunking strategies for consulting artifacts and work with Engineering to implement retrieval-ready knowledge structuresDefine requirements and participate in embedding and vectorization evaluation to ensure captured knowledge can be effectively discovered through semantic search and AI-powered retrievalDefine and track quality metrics (accuracy, completeness, error rates) and continuously improve pipeline performanceEnsure secure handling of sensitive information, including automated redaction and compliance with governance standardsKnowledge Transformation and Structured IngestionDesign and operate pipelines that convert raw, unstructured inputs into structured, template-aligned outputs using AIMap extracted knowledge to defined content model fields, ensuring outputs are complete, consistent, and production-readyDefine structured capture methods (forms, schemas, workflows) to ensure key context (decisions, constraints, trade-offs) is capturedNormalize and standardize data across sources and identify gaps to improve capture and transformation processesDefine entity resolution and canonicalization rules to ensure concepts, terminology, and implementation knowledge are consistently represented across sourcesQuality, AI Readiness and IntegrationEnsure structured outputs support AI-driven use cases including vector search, retrieval-augmented generation (RAG), knowledge graph navigation, and downstream content generationPartner with the Content Model Lead to align transformation outputs with templates and structuresCollaborate with Architecture and Engineering to align knowledge models, retrieval pipelines, and platform data modelsDefine evaluation criteria for retrieval effectiveness, semantic relevance, and answer quality, and continuously improve knowledge performance through measurement and experimentationMinimum Qualifications8+ years of experience in knowledge management, information architecture, information systems, semantic technologies, data engineering, or related fieldExperience working with AI/LLM-based workflows in production Experience designing data pipelines, structured capture, or transformation processesStrong analytical skills with ability to define and improve quality metricsExperience working cross-functionally with product, engineering, and domain expertsExperienced in using technologies such as Knowledge management platforms: Confluence, SharePoint, Notion Enterprise, Gainsight Knowledge, Guru

AI / LLM

: OpenAI / AzureOpenAI ,

Anthropic Claude, Google GeminiAgentic Workflow & Orchestration:

ReAct (Reason + Act), Chain of Thought (CoT) patterns

AI Operations:

Prompt design and evaluation, LLM output evaluation and benchmarking, Model monitoring and QA, RAG evaluation frameworks (e.g., RAGAS), retrieval observability tools (e.g., LangSmith, TruLens), Vector Databases, Markdown files

Knowledge Modeling & Semantic Technologies:

Taxonomy and ontology management platforms (e.g., Semaphore, PoolParty), knowledge graphs, entity resolution and semantic enrichment tools, graph exploration platforms (e.g., Neo4j Bloom)

AI Extraction & Document Processing:

Unstructured.io, LlamaParse, document intelligence and content extraction platformsCloud environments: Azure, AWS, GoogleThe Ideal CandidateHas built AI-driven knowledge capture or data pipelines at scaleCan transform messy, real-world data into structured, usable outputsThinks systemically about data, content, and downstream useWorks effectively across technical and non-technical teamsFocuses on building practical, scalable systems#LI-AS1Learn MoreAbout AutodeskWelcome to Autodesk! Amazing things are created every day with our software - from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made.

We take great pride in our culture here at Autodesk - it's at the core of everything we do. Our culture guides the way we work and treat each other, informs how we connect with customers and partners, and defines how we show up in the world.

When you're an Autodesker, you can do meaningful work that helps build a better world designed and made for all. Ready to shape the world and your future? Join us!

Salary transparency Salary is one part of Autodesk's competitive compensation package. For Poland based roles, we expect a starting base salary between 187,500 PLN and 275,000 PLN. Offers are based on the candidate's experience and geographic location, and may exceed this range. In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package.

Sales CareersWorking in sales at Autodesk allows you to build meaningful relationships with customers while growing your career. Join us and help make a better, more sustainable world.

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https://www.autodesk.com/careers/salesBelongingWe take pride in cultivating a culture of belonging where everyone can thrive.

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https://www.autodesk.com/company/global-belongingIn-Person Onboarding and Identity VerificationThis role may require in-person onboarding and/or in-person ID verification.

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