Leads enterprise knowledge engineering and AI initiatives, designing ontologies, knowledge graphs, semantic layers, and graph-based machine learning solutions. Owns architecture and delivery for complex client programs, develops teams, drives innovation and thought leadership, and advises senior stakeholders. Responsibilities include integrating knowledge systems with data platforms, building AI and LLM pipelines, applying NLP and search techniques, shaping sales and pre-sales efforts, and establishing standards for scalable knowledge graph solutions.
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 : Snowflake Data Warehouse
Good to have skills : Machine Learning (ML), Data Engineering
Minimum 18 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary:
AI Powered Tech Talent
You lead the complete knowledge engineering scope on our most strategic and complex programs lead creation of thought leadership, innovation, and assets for the discipline. You own how the most demanding programs formulate real-world problems into scalable AI and KG solutions, setting strategy and architecture end to end. You lead and develop teams of engineers, building capability across the discipline and guiding adoption of new methods and algorithms. You define what staying at the forefront means for the practice drive innovation and translate it into new offerings. You set the standards for how ontologies are designed, evaluated, and maintained across programs. You make the case to senior stakeholders and shape the methodologies and data architectures that prove value at scale. You lead the creation of thought leadership, innovation, and reusable assets that advance the discipline beyond any single engagement. You partner with business and technical leaders to direct end-to-end delivery across complex, multi-stakeholder programs.
Lead the complete Knowledge Graph solution scope that transforms data architecture for our most strategic and complex clients.
Own the design, development, and implementation of AI and semantic solutions across the program.
Partner with project leaders, delivery leads, and senior client stakeholders to create stand-out, graph-powered offerings.
Develop trusted-advisor relationships with senior client stakeholders.
Make and defend the business case for the semantic layer solution at the executive level.
Lead Accenture sales and pre-sales efforts and shape data transformation programs.
Drive the practice's thought leadership, innovation, and asset development on trends and agentic technologies, and develop the teams who deliver them.
Bachelor's degree or equivalent
Bachelor's degree or equivalent, plus all of the following:
Minimum 6 years of experience with Knowledge Graph technologies (RDF, SPARQL, LPG, SHACL)
Minimum 6 years of experience in schema design, ontology management, and KG curation
Minimum 4 years designing and developing KG solutions and graph-based ML models (functional + technical)
Minimum 3 years of experience with end-to-end data pipeline implementations for AI applications (esp. LLMs), with hands-on design and configuration
Minimum 6 years of experience with strong knowledge of relational databases, object stores, graph databases (Stardog, Neo4J, Amazon Neptune), and vector databases
Minimum 6 years of managerial experience leading people, able to explain the value of the semantic layer and knowledge graphs to senior business and technology stakeholders, with a proven track record in sales and/or pre-sales and in delivering data transformation programs and developing teams
Experience in Practical experience with NLP techniques and/or Search Techniques, prompt engineering
Experience with LLMs for enterprise-scale applications.
5+ years of hands-on experience with cloud platforms (AWS, Azure, GCP)
5+ years of experience in Python, with experience in frameworks like Tensorflow, PyTorch, and tools for building ETL pipelines (e.g. Apache NiFi, Airflow)
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, 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 deliver actionable intelligence across various domains.
Roles & Responsibilities:
- Expected to be a SME with deep knowledge and experience.
- Should have influencing and Advisory skills.
- Engage with multiple teams and responsible for team decisions.
- Expected to provide solutions to problems that apply across multiple teams, and provide solutions to business area problems.
- Collaborate with stakeholders to align knowledge frameworks with organizational goals and evolving business needs.
- Continuously evaluate and improve knowledge models to enhance the performance and accuracy of AI-driven systems.
- Mentor junior team members by sharing expertise and guiding best practices in knowledge engineering.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in Snowflake Data Warehouse.
- Good To Have Skills: Experience with Machine Learning (ML), Data Engineering.
- Strong understanding of data modeling and schema design within cloud-based data warehousing environments.
- Experience in managing and optimizing large-scale data repositories to support complex queries and analytics.
- Ability to integrate semantic technologies and knowledge representation standards with data warehouse solutions.
- Familiarity with advanced data processing techniques and tools to support knowledge graph analytics.
Additional Information:
- The candidate should have minimum 18 years of experience in Snowflake Data Warehouse.
- This position is based at our Chennai office.
- A 15 years full time education is required.
15 years full time education
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 : Snowflake Data Warehouse
Good to have skills : Machine Learning (ML), Data Engineering
Minimum 18 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary:
AI Powered Tech Talent
You lead the complete knowledge engineering scope on our most strategic and complex programs lead creation of thought leadership, innovation, and assets for the discipline. You own how the most demanding programs formulate real-world problems into scalable AI and KG solutions, setting strategy and architecture end to end. You lead and develop teams of engineers, building capability across the discipline and guiding adoption of new methods and algorithms. You define what staying at the forefront means for the practice drive innovation and translate it into new offerings. You set the standards for how ontologies are designed, evaluated, and maintained across programs. You make the case to senior stakeholders and shape the methodologies and data architectures that prove value at scale. You lead the creation of thought leadership, innovation, and reusable assets that advance the discipline beyond any single engagement. You partner with business and technical leaders to direct end-to-end delivery across complex, multi-stakeholder programs.
Lead the complete Knowledge Graph solution scope that transforms data architecture for our most strategic and complex clients.
Own the design, development, and implementation of AI and semantic solutions across the program.
Partner with project leaders, delivery leads, and senior client stakeholders to create stand-out, graph-powered offerings.
Develop trusted-advisor relationships with senior client stakeholders.
Make and defend the business case for the semantic layer solution at the executive level.
Lead Accenture sales and pre-sales efforts and shape data transformation programs.
Drive the practice's thought leadership, innovation, and asset development on trends and agentic technologies, and develop the teams who deliver them.
Bachelor's degree or equivalent
Bachelor's degree or equivalent, plus all of the following:
Minimum 6 years of experience with Knowledge Graph technologies (RDF, SPARQL, LPG, SHACL)
Minimum 6 years of experience in schema design, ontology management, and KG curation
Minimum 4 years designing and developing KG solutions and graph-based ML models (functional + technical)
Minimum 3 years of experience with end-to-end data pipeline implementations for AI applications (esp. LLMs), with hands-on design and configuration
Minimum 6 years of experience with strong knowledge of relational databases, object stores, graph databases (Stardog, Neo4J, Amazon Neptune), and vector databases
Minimum 6 years of managerial experience leading people, able to explain the value of the semantic layer and knowledge graphs to senior business and technology stakeholders, with a proven track record in sales and/or pre-sales and in delivering data transformation programs and developing teams
Experience in Practical experience with NLP techniques and/or Search Techniques, prompt engineering
Experience with LLMs for enterprise-scale applications.
5+ years of hands-on experience with cloud platforms (AWS, Azure, GCP)
5+ years of experience in Python, with experience in frameworks like Tensorflow, PyTorch, and tools for building ETL pipelines (e.g. Apache NiFi, Airflow)
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, 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 deliver actionable intelligence across various domains.
Roles & Responsibilities:
- Expected to be a SME with deep knowledge and experience.
- Should have influencing and Advisory skills.
- Engage with multiple teams and responsible for team decisions.
- Expected to provide solutions to problems that apply across multiple teams, and provide solutions to business area problems.
- Collaborate with stakeholders to align knowledge frameworks with organizational goals and evolving business needs.
- Continuously evaluate and improve knowledge models to enhance the performance and accuracy of AI-driven systems.
- Mentor junior team members by sharing expertise and guiding best practices in knowledge engineering.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in Snowflake Data Warehouse.
- Good To Have Skills: Experience with Machine Learning (ML), Data Engineering.
- Strong understanding of data modeling and schema design within cloud-based data warehousing environments.
- Experience in managing and optimizing large-scale data repositories to support complex queries and analytics.
- Ability to integrate semantic technologies and knowledge representation standards with data warehouse solutions.
- Familiarity with advanced data processing techniques and tools to support knowledge graph analytics.
Additional Information:
- The candidate should have minimum 18 years of experience in Snowflake Data Warehouse.
- This position is based at our Chennai 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.Visit us at www.accenture.com
Equal Employment Opportunity Statement
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, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.
Accenture Chennai, Tamil Nadu, IND Office
Chennai, India
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