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 : Google Cloud Data Services Good to have skills : Microsoft Azure Data Services, Snowflake Data Warehouse Minimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary: AI Powered Tech Talent You lead a significant knowledge engineering scope and function within a large program actively contribute to thought leadership. You shape how a substantial body of work formulates real-world problems into scalable AI and KG solutions, and set the technical direction for that scope. You lead a team and guide exploration and implementation of new methodologies, model building techniques, and cutting-edge algorithms. You remain at the forefront and drive innovation by applying these techniques to new business problems, use cases, and scenarios. You design, evaluate, and maintain ontologies, and establish the standards others follow. You justify the value to business and technology stakeholders, and construct the methodologies and data architectures that demonstrate it. You publish or present perspective beyond the immediate project. You work across business and technical teams to drive end-to-end delivery for their scope. Leads the build of Knowledge Graph solutions that transform a client's data architecture within program scope. Directs the design, development, and implementation of AI and semantic solutions, ensuring all the pieces work together seamlessly. Works with project leaders, delivery leads, and client stakeholders to create stand-out, graph-powered Data & AI offerings. Develops strong client relationships and earns the trust of key advisors. Makes the business case for the semantic layer solution recommended to the client. Contributes meaningfully to Accenture sales and pre-sales efforts. Provides thought leadership on technology trends, new opportunities, innovations, and foreseeable limitations, risks, and concerns. Bachelor's degree or equivalent Bachelor's degree or equivalent, plus at least 4 of the following: Minimum 3 years of experience with Knowledge Graph technologies (RDF, SPARQL, LPG, SHACL) Minimum 3 years of experience in schema design, ontology management, and KG curation Minimum 3 years of designing and developing KG solutions and graph-based ML models (functional + technical) Minimum 2 years of experience with end-to-end data pipeline implementations for AI applications (esp. LLMs), with hands-on design and configuration Minimum 4 years of experience with strong knowledge of relational databases, object stores, graph databases (Stardog, Neo4J, Amazon Neptune), and vector databases Minimum 2 years of experience in leading a team or workstream within a larger program 2+ years of hands-on experience with cloud platforms (AWS, Azure, GCP) 2+ years of experience in Python, with experience in frameworks like Tensorflow, PyTorch, and tools for building ETL pipelines (e.g. Apache NiFi, Airflow) Practical experience with NLP and/or Search techniques Prompt engineering, and LLMs for enterprise-scale applications. You have team lead experience Strong collaboration skills with the ability to work across engineering, research, and product teams across multiple time zones. You have external client-facing consulting experience Ph.D. in Computer Science, Computer or Electrical Engineering, Mathematics, or a related field. Broad experience in diverse ML techniques and agentic systems. As a Knowledge Engineer, your typical day involves designing and structuring comprehensive knowledge frameworks that empower artificial intelligence systems to reason effectively and make well-informed decisions. You will focus on capturing expert knowledge and transforming unstructured information into organized ontologies, knowledge graphs, and semantic models. Your work ensures that the knowledge representations maintain accuracy and contextual relevance, supporting automation and generating valuable insights. Additionally, you will apply advanced analytical techniques to these knowledge structures to facilitate problem-solving and deliver actionable intelligence across various domains. 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 system reasoning capabilities. - Facilitate knowledge sharing and alignment across cross-functional teams to ensure consistency and integration. - Mentor junior team members by providing guidance and support to foster their professional growth. Professional & Technical Skills: - Must To Have Skills: Proficiency in Google Cloud Data Services. - Good To Have Skills: Experience with Microsoft Azure Data Services, Snowflake Data Warehouse. - Strong expertise in designing and implementing ontologies, knowledge graphs, and semantic models. - Experience in applying advanced analytics techniques to knowledge-based data structures. - Ability to work with unstructured data and transform it into structured, machine-readable formats. - Familiarity with cloud-based data management and processing platforms. Additional Information: - The candidate should have minimum 7.5 years of experience in Google Cloud Data Services. - This position is based at our Bengaluru office. - 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. 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