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 : Data Engineering
Good to have skills : Microsoft Azure Data Services
Minimum 15 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 multiple teams and projects.





Roles & Responsibilities:

- Expected to be a SME with deep knowledge and experience.
- Should have Influencing and Advisory skills.
- Responsible for team decisions.
- Engage with multiple teams and contribute on key decisions.
- Expected to provide solutions to problems that apply across multiple teams.
- Collaborate with stakeholders to align knowledge frameworks with organizational goals and evolving technologies.
- Mentor and guide junior team members to foster skill development and knowledge sharing.

Skilled & Technical Skills:

- Must To Have Skills: Proficiency in Data Engineering.
- Good To Have Skills: Experience with Microsoft Azure Data Services.
- Strong expertise in designing and implementing scalable data pipelines and architectures.
- Experience with data modeling, integration, and transformation techniques to support knowledge representation.
- Familiarity with semantic web technologies, ontologies, and knowledge graph construction.
- Ability to work with large datasets and apply advanced analytics to extract meaningful insights.

Additional Information:

- The candidate should have minimum 15 years of experience in Data Engineering.

- This position is based at our BDC7B - SEZ office.

- A 15 years full time education is required.

15 years full time education

📌 Knowledge Engineer (India)
🏢 Accenture
📍 India