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…
Skills: Microsoft Azure Data Services, Machine Learning, Ontology Design, Semantic Modeling, Knowledge Graphs
Project Role : Large Language Model Architect Project Role Description : Architect large language models (LLM) that can process and generate natural language. Design neural network parameters, trained on large quantities…
Skills: Databricks, Large Language Models, Python, Machine Learning, Deep Learning
Project Role : Large Language Model Architect Project Role Description : Architect large language models (LLM) that can process and generate natural language. Design neural network parameters, trained on large quantities…
Skills: Snowflake Data Warehouse, Large Language Models, Python, Machine Learning, Deep Learning
Project Role : Large Language Model Architect Project Role Description : Architect large language models (LLM) that can process and generate natural language. Design neural network parameters, trained on large quantities…
Skills: Large Language Models, Google Cloud Data Services, Python, Neural Network Architecture, Machine Learning
Project Role : Large Language Model Architect Project Role Description : Architect large language models (LLM) that can process and generate natural language. Design neural network parameters, trained on large quantities…
Skills: Large Language Models, Snowflake Data Warehouse, Python, Machine Learning, Deep Learning
Project Role : Large Language Model Architect Project Role Description : Architect large language models (LLM) that can process and generate natural language. Design neural network parameters, trained on large quantities…
Skills: Large Language Models, Snowflake Data Warehouse, Python, Machine Learning, Deep Learning
Project Role : Large Language Model Architect Project Role Description : Architect large language models (LLM) that can process and generate natural language. Design neural network parameters, trained on large quantities…
Skills: Snowflake Data Warehouse, Large Language Models, Python, Machine Learning, Deep Learning
Project Role : Large Language Model Architect Project Role Description : Architect large language models (LLM) that can process and generate natural language. Design neural network parameters, trained on large quantities…
Skills: Microsoft Azure Data Services, Snowflake Data Warehouse, Large Language Models, Neural Network Architecture, Natural Language Processing
Project Role : Large Language Model Architect Project Role Description : Architect large language models (LLM) that can process and generate natural language. Design neural network parameters, trained on large quantities…
Skills: Large Language Models, Snowflake Data Warehouse, Python, Deep Learning, Machine Learning
Project Role : Large Language Model Architect Project Role Description : Architect large language models (LLM) that can process and generate natural language. Design neural network parameters, trained on large quantities…
Skills: Databricks, Large Language Models, Python, Machine Learning, Deep Learning
Project Role : Large Language Model Architect Project Role Description : Architect large language models (LLM) that can process and generate natural language. Design neural network parameters, trained on large quantities…
Skills: Large Language Models, Snowflake Data Warehouse, Knowledge Graph, Python, Tensorflow
Project Role : Large Language Model Architect Project Role Description : Architect large language models (LLM) that can process and generate natural language. Design neural network parameters, trained on large quantities…
Skills: Snowflake Data Warehouse, Large Language Models, Python, Machine Learning, Deep Learning
Project Role : Large Language Model Architect Project Role Description : Architect large language models (LLM) that can process and generate natural language. Design neural network parameters, trained on large quantities…
Skills: Large Language Models, Snowflake Data Warehouse, Python, Machine Learning, Deep Learning
Project Role : Large Language Model Architect Project Role Description : Architect large language models (LLM) that can process and generate natural language. Design neural network parameters, trained on large quantities…
Skills: Large Language Models, Snowflake Data Warehouse, Knowledge Graph, Python, Tensorflow
Project Role : Large Language Model Architect Project Role Description : Architect large language models (LLM) that can process and generate natural language. Design neural network parameters, trained on large quantities…
Skills: Databricks Unified Data Analytics Platform, Large Language Models, Neural Network Design, Data Science, Machine Learning
Project Role : Large Language Model Architect Project Role Description : Architect large language models (LLM) that can process and generate natural language. Design neural network parameters, trained on large quantities…
Skills: Large Language Models, Snowflake Data Warehouse, Knowledge Graph, Python, Tensorflow
Project Role : Large Language Model Architect Project Role Description : Architect large language models (LLM) that can process and generate natural language. Design neural network parameters, trained on large quantities…
Skills: Snowflake Data Warehouse, Large Language Models, Knowledge Graph, Python, Machine Learning
Project Role : Large Language Model Architect Project Role Description : Architect large language models (LLM) that can process and generate natural language. Design neural network parameters, trained on large quantities…
Skills: Large Language Models, Snowflake Data Warehouse, Python, Machine Learning, Deep Learning
Project Role : Large Language Model Architect Project Role Description : Architect large language models (LLM) that can process and generate natural language. Design neural network parameters, trained on large quantities…
Skills: Large Language Models, Snowflake Data Warehouse, Python, Machine Learning, Deep Learning
Project Role : Data Architect Project Role Description : Define the data requirements and structure for the application. Model and design the application data structure, storage and integration. Must have skills : Data S…
Skills: Data Science, Data Architecture, Data Modeling, Data Integration, Data Governance
Sign up with Clera and we'll reach out the moment a role actually fits you — no more spraying applications into the void.
Full-time
bachelor degree
Posted 6d ago
~40 hrs/week
Responsibilities
The Knowledge Engineer will design and structure complex knowledge frameworks, ontologies, and semantic models to support AI reasoning and decision-making. They are also responsible for leading teams, mentoring junior staff, and applying advanced analytics to knowledge graphs to drive actionable insights.
Requirements
Candidates must have a minimum of 12 years of experience in Microsoft Azure Data Services and a 15-year full-time education. Strong expertise in designing ontologies, knowledge graphs, and semantic models is required, with additional experience in Machine Learning preferred.
Full job description
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 : Machine Learning (ML) Minimum 12 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 organizing complex knowledge frameworks that support artificial intelligence systems in reasoning and decision-making processes. This role requires capturing expert insights and transforming unstructured information into structured ontologies, knowledge graphs, and semantic models. The professional ensures that these knowledge representations maintain accuracy and contextual relevance to facilitate automation and generate meaningful insights. Additionally, the day includes applying advanced analytical techniques to knowledge graphs to uncover solutions and actionable intelligence that benefit 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. - Expected to provide solutions to problems that apply across multiple teams. - Lead the development and refinement of knowledge representation models to enhance AI capabilities. - Facilitate effective communication and coordination among cross-functional teams to align knowledge engineering efforts with organizational goals. - Mentor junior team members to support their growth and integration within the knowledge engineering domain.
Professional & Technical Skills: - Must To Have Skills: Proficiency in Microsoft Azure Data Services. - Good To Have Skills: Experience with Machine Learning (ML). - Strong expertise in designing and implementing ontologies and semantic models. - Experience in constructing and managing knowledge graphs for complex data relationships. - Ability to apply advanced analytics techniques to extract insights from structured knowledge bases. - Familiarity with data integration and transformation processes within cloud environments.
Additional Information: - The candidate should have minimum 12 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
About Accenture
Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.
We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, militaryveteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicablelaw. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.
Accenture helps the world’s leading enterprises reinvent by building their digital core and unleashing the power of AI to create value at speed for organizations across industries. Our strategy is to be the reinvention partner of choice for our clients and lead in the safe, widespread adoption of AI, and to be the most client-focused, AI-enabled, great place to work in the world. We bring together the talent of our approximately 786,000 people with proprietary assets and platforms, deep process and industry expertise, and leading ecosystem relationships to deliver end-to-end solutions and measurable outcomes at scale. Through our Reinvention Services, we offer broad expertise across Cybersecurity, Digital Core, Finance, Industry and Enterprise, Song, Supply Chain and Engineering, and Talent, with advanced capabilities in AI and Data, Industry and Process, and Technology. We serve approximately 9,000 clients and generated approximately $70 billion in FY25 revenue. Visit us at accenture.com.
This LinkedIn company page is moderated. When engaging with Accenture, we encourage everyone to:
- Use common courtesy and be respectful of others.
- Create your own original content and avoid content that you know to be fraudulent.
- Never repost someone else's copyrighted work, unless you have permission.
- Never post personal, identifying, or confidential information.
We reserve the right to delete comments or posts we deem to be:
- Profane, obscene, inappropriate, offensive, abusive material.
- Spam, repeated comments and commercial messages and personal advertisements.
- Discriminatory or that contain hateful speech of any kind regarding age, gender, race, religion, nationality, sexual orientation, gender identity or disability.
- Threats; personal attacks; abusive, defamatory, derogatory, or inflammatory language; or stalking or harassment of any individual, entity or organization.
- False, inaccurate, libelous, or otherwise misleading in any way.
Offices: Grand Canal Harbour, Dublin 2, IE · 415 Mission Street, Floor 31-34, San Francisco, California 94105, US · Porkkalankatu 5, Helsinki, Southern Finland 00180, FI · Level 29 & 30, Menara Exchange 106, Lingkaran TRX, Tun Razak Exchange, Kuala Lumpur, Kuala Lumpur 55188, MY · Warsaw Towers Sienna 39, Warsaw, 00-121, PL
Management ConsultingSystems Integration and TechnologyBusiness Process Outsourcingand Application and Infrastructure OutsourcingInfrastructureData ManagementSoftwareOutsourcingManufacturingConstruction