Knowledge Engineer

Project Role : Knowledge Engineer Project Role Description : Design and structure knowledge frameworks that enable AI systems to reason and make informed decisions. Capture and translate expert and unstructured knowledge into ontologies, knowledge graphs, and semantic models, ensuring accuracy and context for automation and insights. Apply advanced analytics on knowledge graphs to drive problem-solving and actionable insights. Must have skills : Databricks Unified Data Analytics Platform Good to have skills : Data Engineering, Graph Databases, Neo4j Minimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary: AI Powered Tech Talent As a Knowledge Engineer, a typical day involves designing and structuring comprehensive knowledge frameworks that empower artificial intelligence systems to reason effectively and make well-informed decisions. This role requires capturing expert knowledge and transforming unstructured information into organized ontologies, knowledge graphs, and semantic models. Throughout the day, the Knowledge Engineer ensures that these knowledge representations maintain accuracy and contextual relevance, supporting automation and generating valuable insights. Additionally, the role includes applying advanced analytical techniques to knowledge graphs to facilitate problem-solving and derive actionable intelligence that benefits various organizational functions. Roles & Responsibilities: - Expected to be an SME, collaborate and manage the team to perform. - Responsible for team decisions. - Engage with multiple teams and contribute on key decisions. - Provide solutions to problems for their immediate team and across multiple teams. - Lead the development and refinement of knowledge representation models to enhance artificial intelligence capabilities. - Facilitate effective communication and knowledge sharing among cross-functional teams to align project goals and deliverables. - Mentor junior team members by providing guidance and support to foster their professional growth and skill development. Professional & Technical Skills: - Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform. - Good To Have Skills: Graph Databases, Neo4j, Data Engineering. - Strong experience in designing and implementing knowledge graphs and semantic models. - Ability to work with unstructured data and transform it into structured knowledge representations. - Familiarity with advanced analytics techniques applied to knowledge frameworks. - Experience collaborating with diverse teams to integrate knowledge solutions into broader AI systems. Additional Information: - The candidate should have minimum 7.5 years of experience in Databricks Unified Data Analytics Platform. - This position is based at our BDC7B - SEZ location. - A 15 years full time education is required. 15 years full time education Important Notice We have been alerted to the existence of fraudulent messages asking job seekers to set up payment to cover various costs associated with establishing employment at Accenture. No one is ever required to pay for employment at Accenture. If you are contacted by someone asking for payment, please do not respond, and contact us at india.fc.check@accenture.com immediately. Equal Employment Opportunity Statement All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Please read Accenture’s Recruiting and Hiring Statement for more information on how we process your data during the Recruiting and Hiring process.