Principal Knowledge Acquisition Analyst

This is a fully remote position, open to applicants in Poland.

📋 Description

• Design and manage AI-driven pipelines to extract knowledge from enterprise systems, meeting transcripts, and engagement artifacts.

• Oversee and enhance AI agents, focusing on prompt design, evaluation, and performance optimization.

• Establish and monitor quality metrics (accuracy, completeness, error rates) while continuously enhancing pipeline efficiency.

• Ensure the secure management of sensitive data, including automated redaction and adherence to governance standards.

• Create and manage pipelines that transform raw, unstructured data into structured, template-aligned outputs utilizing AI.

• Map the extracted knowledge to specified content model fields, ensuring that outputs are comprehensive, consistent, and ready for production.

• Define structured capture methodologies (forms, schemas, workflows) to guarantee that key context (decisions, constraints, trade-offs) is recorded.

• Normalize and standardize data across various sources while identifying gaps to enhance capture and transformation processes.

• Ensure that structured outputs facilitate AI-driven applications such as retrieval (RAG) and subsequent content generation.

• Collaborate with the Content Model Lead to ensure transformation outputs align with templates and structures.

• Work together with Architecture and Engineering teams to align pipelines with platform data models.

• Identify and address data quality concerns to enhance overall system performance.

⛳️ Requirements

• 8+ years of experience in knowledge management, data engineering, information systems, or related disciplines.

• Proven experience with AI/LLM-based workflows in a production environment.

• Proficient in designing data pipelines, structured capture, or transformation procedures.

• Strong analytical abilities with a focus on defining and improving quality metrics.

• Experience collaborating across functions with product, engineering, and domain experts.

• Familiarity with technologies such as knowledge management platforms: Confluence, SharePoint, Notion Enterprise, Gainsight Knowledge, Guru.

• Knowledge of AI/LLM technologies: OpenAI/Azure OpenAI, Anthropic Claude, Google Gemini.

• Experience with workflow and orchestration patterns: ReAct (Reason + Act), Chain of Thought (CoT).

• Expertise in AI operations: prompt design and evaluation, LLM output assessment and benchmarking, model monitoring and QA, vector databases, markdown files.

• Experience in cloud environments: Azure, AWS, Google.

🏝️ Benefits

• Health insurance

• Annual cash bonuses

• Stock grants

• Comprehensive benefits package