Principal Knowledge Acquisition Analyst

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.

• 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
• 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, Vector Databases, Markdown files
• 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

Knowledge Capture and AI Pipelines:

• 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

Knowledge Transformation and Structured Ingestion:

• 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

Quality, AI Readiness and Integration:

• 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

Please search for open jobs and apply internally if you are an existing contractor or consultant with Autodesk.