Principal Knowledge Automation Analyst

Autodesk; Polska; Hybrid; PLN 188,000 - 275,000; Full time

Job summary

Autodesk’s Technical Advisory group is building a scalable knowledge platform to convert implementation experiences into structured, reusable guidance within Workflow Advisory. The Principal Knowledge Acquisition Analyst will design and operate AI-powered pipelines that capture knowledge from enterprise engagements and transform it into template-aligned outputs for downstream content production.

You’ll own the upstream knowledge pipeline, from extraction to delivering high-quality structured

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.

Responsibilities

• 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.
• 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.

Skills

Knowledge management

Information architecture

Semantic technologies

Data engineering

AI workflows in production

Cross-functional collaboration

Tools

Confluence

SharePoint

Notion Enterprise

Gainsight Knowledge

Guru

Job description

Job Requisition ID #

26WD97787

Position Overview

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 andoperateAI-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 governancerequiredto organize and retrieve implementation knowledge at scale

• Manage andoptimizeAI 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 andparticipatein 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 andoperatepipelines 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 andidentifygaps 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 ModelLeadto 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

Experienced in using technologies such

• Knowledge management platforms:Confluence, SharePoint, Notion Enterprise, Gainsight Knowledge, Guru

• AI /LLM :OpenAI /AzureOpenAI,Anthropic Claude, Google Gemini

• Agentic 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 platforms

• Cloud environments:Azure, AWS, Google

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

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About Autodesk

Welcome 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, inform how we connect with customers and partners, and define 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 Careers

Working 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. Learn more here: https://www.autodesk.com/careers/sales

Belonging

We take pride in cultivating a culture of belonging where everyone can thrive. Learn more here: https://www.autodesk.com/company/global-belonging

In-Person Onboarding and Identity Verification

This role may require in-person onboarding and/or in-person ID verification.

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