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 : Microsoft Azure Data Services
Good to have skills : Graph Databases, Data Engineering
Minimum 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 recent 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 knowledge graphs 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 efforts to maintain the quality and consistency of knowledge representations within the team.
- Facilitate knowledge sharing and continuous learning among team members to enhance overall expertise.
- Support junior professionals by guiding their development and assisting with complex challenges.

Professional & Technical Skills:

- Must To Have Skills: Proficiency in Microsoft Azure Data Services.
- Good To Have Skills: Experience with Graph Databases, Data Engineering.
- Strong understanding of knowledge representation techniques including ontologies and semantic modeling.
- Experience in designing and managing knowledge graphs to support artificial intelligence applications.
- Ability to apply advanced analytics and reasoning methods on structured knowledge data.
- Familiarity with data integration and transformation processes to ensure data quality and contextual accuracy.

Additional Information:

- The candidate should have minimum 5 years of experience in Microsoft Azure Data Services.
- This position is based at our Bengaluru office.
- A 15 years full time education is required.

15 years full time education

📌 Knowledge Engineer (Bengaluru)
🏢 Accenture
📍 Bengaluru