Autodesk
10,000+ employees
Founded 1982
đą Media
Architecture ⢠Engineering ⢠Media
Autodesk is a global leader in software for designers, engineers, builders, and creators. The company provides a comprehensive suite of design and engineering applications including popular products like AutoCAD, Revit, and 3ds Max. Through its Design and Make Platform, Autodesk empowers professionals across various industries to design, visualize, and manage projects efficiently, facilitating innovation and sustainability in architecture, engineering, construction, and manufacturing.
Principal Knowledge Acquisition Analyst
đ May 5
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Autodesk
10,000+ employees
Founded 1982
đą Media
Architecture ⢠Engineering ⢠Media
Autodesk is a global leader in software for designers, engineers, builders, and creators. The company provides a comprehensive suite of design and engineering applications including popular products like AutoCAD, Revit, and 3ds Max. Through its Design and Make Platform, Autodesk empowers professionals across various industries to design, visualize, and manage projects efficiently, facilitating innovation and sustainability in architecture, engineering, construction, and manufacturing.
đ Description
⢠Design and operate AI-powered pipelines to capture knowledge from enterprise systems, meeting transcripts, and engagement artifacts ⢠Manage and optimize AI agents, including prompt design, evaluation, and performance tuning ⢠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 ⢠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 ⢠Ensure structured outputs support AI-driven use cases such as retrieval (RAG) 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 pipelines with platform data models ⢠Identify and resolve data quality issues and improve end-to-end system performance
đŻ Requirements
⢠8+ years of experience in knowledge management, data engineering, information systems, or related fields ⢠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 as Knowledge management platforms: Confluence, SharePoint, Notion Enterprise, Gainsight Knowledge, Guru ⢠AI / LLM : OpenAI / AzureOpenAI , Anthropic Claude, Google Gemini ⢠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, Vector Databases, Markdown files ⢠Cloud environments: Azure, AWS, Google
đď¸ Benefits
⢠Health insurance ⢠Annual cash bonuses ⢠Stock grants ⢠Comprehensive benefits package
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