Autodesk

PrincipalKnowledgeAutomationEngineer

$520–780k ~AI est. Poland FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Principal Knowledge Automation Engineer at Autodesk. Skills: Knowledge Automation, AI Pipelines, Data Transformation, Semantic Technologies. Design AI-powered pipelines. Operate AI-powered pipelines”

What You'll Achieve.

Establish scalable AI pipelines; Ensure reliable knowledge conversion; Deliver high-quality outputs

Industry & Context.

Problems you'll solve

Analytical skills; Define quality metrics; Improve pipeline performance; Identify gaps; Entity resolution; Canonicalization; Improve knowledge performance

What They're Looking For.

Must Have

8+ years experience in knowledge management, 8+ years experience in information architecture, 8+ years experience in information systems, 8+ years experience in semantic technologies, 8+ years experience in data engineering, Experience with AI/LLM-based workflows, Experience designing data pipelines, Experience designing structured capture, Experience designing transformation processes, Analytical skills to define quality metrics, Experience working cross-functionally

Nice to Have

Built AI-driven knowledge capture at scale, Built data pipelines at scale, Transform messy data into structured outputs, Systemic thinking about data, Systemic thinking about content, Systemic thinking about downstream use, Works effectively across technical teams, Works effectively across non-technical teams

What You'll Do.

Design AI-powered pipelines

Operate AI-powered pipelines

Capture knowledge from systems

Capture knowledge from transcripts

Capture knowledge from artifacts

Define conceptual knowledge model

Evolve conceptual knowledge model

Organize implementation knowledge

Retrieve implementation knowledge

Tune AI agent performance

Define chunking strategies

Implement retrieval-ready structures

Define embedding requirements

Evaluate vectorization

Discover knowledge through semantic search

Discover knowledge through AI retrieval

Define quality metrics

Track quality metrics

Improve pipeline performance

Ensure secure information handling

Perform automated redaction

Comply with governance standards

Design transformation pipelines

Operate transformation pipelines

Convert raw inputs to structured outputs

Use AI for transformation

Map extracted knowledge to content model

Ensure outputs are complete

Ensure outputs are consistent

Ensure outputs are production-ready

Define structured capture methods

Normalize data across sources

Standardize data across sources

Identify capture gaps

Identify transformation gaps

Define entity resolution rules

Define canonicalization rules

Represent concepts consistently

Represent terminology consistently

Represent implementation knowledge consistently

Support AI-driven use cases

Support vector search

Support knowledge graph navigation

Support downstream content generation

Align transformation outputs with templates

Align transformation outputs with structures

Align knowledge models

Align retrieval pipelines

Align platform data models

Define evaluation criteria

Evaluate retrieval effectiveness

Evaluate semantic relevance

Evaluate answer quality

Improve knowledge performance through measurement

Improve knowledge performance through experimentation

How You'll Work.

Team & Collaboration

Cross-functionally with product; Cross-functionally with engineering; Cross-functionally with domain experts; With Engineering for implementation; With Content Model Lead; With Architecture; With Engineering for alignment

Full 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 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, co

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