3 months ago

Principal Knowledge Automation Analyst

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 8 hours agoStatus: Live

Job Summary

Design and operate AI-powered pipelines to capture knowledge from enterprise engagements, transforming unstructured data into structured, template-aligned outputs for downstream content production. Own upstream knowledge pipelines from extraction to delivery, enabling AI-driven retrieval and content generation across cross-functional teams within Autodesk’s Workflow Advisory platform.

Location: Poland

Workplace: Remote

Employment Type: Full time

Job Function: Communications, PR & Community

Key Responsibilities

•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 governance-compliant handling.
•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.

Key Requirements

•8+ years of experience in knowledge management, data engineering, information systems, or related fields; demonstrated ability to architect and optimize data pipelines and AI-driven workflows in production.
•Experience designing data pipelines, structured capture, or transformation processes; strong analytical skills to define and improve quality metrics.
•Proven track record of cross-functional collaboration with product, engineering, and domain experts; ability to translate messy real-world data into structured, usable outputs.
•Experience working with AI/LLM-based workflows in production and familiarity with AI operations, prompt design, evaluation, and benchmarking.
•Knowledge of knowledge management platforms (e.g., Confluence, SharePoint, Notion Enterprise, Gainsight Knowledge, Guru) and AI/LMM tooling (OpenAI, AzureOpenAI, Claude, Gemini); comfortable working across cloud environments (Azure, AWS, Google).

Experience:8+ yearsKnowledge managementData engineeringAI pipelinesEnterprise software

Skills:AnalyticalCommunicationCollaborationProblem-solvingStakeholder management

Languages:English

Tech Stack:ConfluenceSharePointNotionGainsight KnowledgeGuruOpenAIAzureOpenAIAnthropic ClaudeGoogle GeminiReActChain of ThoughtVector databasesMarkdownAzureAWSGoogle Cloud

Company Brief

Autodesk

Provides design and engineering software for architecture, construction, manufacturing, media, and entertainment industries, offering CAD, BIM, and 3D modeling tools to enable product and infrastructure design workflows.

Industry: Enterprise Software

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: San Rafael, United States

Founded: 1982

Glassdoor: 3.9

Website LinkedIn Glassdoor

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Autodesk

3 months ago

Principal Knowledge Automation Analyst

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 8 hours agoStatus: Live

Job Summary

Location: Poland

Workplace: Remote

Employment Type: Full time

Job Function: Communications, PR & Community

Key Responsibilities

•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 governance-compliant handling.
•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.

Key Requirements

•8+ years of experience in knowledge management, data engineering, information systems, or related fields; demonstrated ability to architect and optimize data pipelines and AI-driven workflows in production.
•Experience designing data pipelines, structured capture, or transformation processes; strong analytical skills to define and improve quality metrics.
•Proven track record of cross-functional collaboration with product, engineering, and domain experts; ability to translate messy real-world data into structured, usable outputs.
•Experience working with AI/LLM-based workflows in production and familiarity with AI operations, prompt design, evaluation, and benchmarking.
•Knowledge of knowledge management platforms (e.g., Confluence, SharePoint, Notion Enterprise, Gainsight Knowledge, Guru) and AI/LMM tooling (OpenAI, AzureOpenAI, Claude, Gemini); comfortable working across cloud environments (Azure, AWS, Google).

Experience:8+ yearsKnowledge managementData engineeringAI pipelinesEnterprise software

Skills:AnalyticalCommunicationCollaborationProblem-solvingStakeholder management

Languages:English

Tech Stack:ConfluenceSharePointNotionGainsight KnowledgeGuruOpenAIAzureOpenAIAnthropic ClaudeGoogle GeminiReActChain of ThoughtVector databasesMarkdownAzureAWSGoogle Cloud

Company Brief

Autodesk

Industry: Enterprise Software

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: San Rafael, United States

Founded: 1982

Glassdoor: 3.9

Website LinkedIn Glassdoor