Autodesk
PrincipalKnowledgeAutomationEngineer
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“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.
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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