Overview

Key Responsibilities:

Responsibilities

• Develop Knowledge Management Frameworks: Design, build, and implement comprehensive frameworks that capture, organize, and facilitate the sharing of knowledge across teams and departments.
• Enable Knowledge Evolution with GenAI: Drive the evolution of knowledge repositories and management systems with generative AI capabilities, ensuring the system continuously learns and improves in response to user inputs and recent information.
• Create and Maintain Solution Banks: Establish and manage a repository of solution banks that can be utilized by teams to solve recurring challenges efficiently.
• Develop processes to update and evolve these solution banks as knowledge and technology advance.
• Collaborate with Cross-functional Teams: Work closely with stakeholders, including engineers, data scientists, and domain experts, to understand knowledge requirements, identify gaps, and continuously improve knowledge management solutions.
• Ensure High-Quality Knowledge Assets: Create and maintain high standards for knowledge assets, ensuring they are accurate, accessible, and aligned with organizational goals.
• Leverage Advanced AI Techniques: Apply AI/ML techniques, particularly GenAI, to enhance knowledge retrieval, classification, and recommendation processes, making knowledge systems more intuitive and user-centric.
• Measure and Report on Knowledge System Effectiveness: Develop metrics to measure the effectiveness of knowledge systems and GenAI implementations, using these insights to drive improvements and maximize impact.

Qualifications

• Proven experience in knowledge engineering or knowledge management.
• Expertise in designing and implementing knowledge management frameworks.
• Strong understanding of AI, specifically GenAI technologies, and their application to knowledge evolution and management.
• Familiarity with solution bank creation and maintenance processes.
• Experience: Minimum of 3 years in a similar role is required; overall 5 years.
• Proficiency in knowledge management tools and systems.
• Strong analytical and problem-solving skills, with the ability to translate complex requirements into actionable solutions.
• Excellent communication skills, with the ability to explain technical concepts to non-technical stakeholders.
• Knowledge of AI and ML frameworks, libraries, and best practices. .

Education

• Bachelors degree in Engineering, Computer Science, or a related field.