Knowledge Engineer

Accenture in India; Chennai District; On-site; INR 3,000,000 - 5,500,000; Full time

Benefits offered by this job

Job summary

Accenture in India is seeking a Knowledge Engineer to lead knowledge frameworks and KG-based AI solutions for strategic programs. You will shape ontologies, graph-based models, and data architectures, while guiding multi-stakeholder teams across delivery and sales.

You will drive innovation and publish reusable assets to advance the discipline. You will partner with business and technical leaders to deliver end-to-end semantic solutions, transform data architectures, and direct knowledge

Qualifications

• Minimum 6 years of Knowledge Graph experience (RDF, SPARQL, LPG, SHACL).
• Minimum 6 years in schema design, ontology management, and KG curation.
• Minimum 4 years designing KG solutions and graph-based ML models.
• Minimum 3 years end-to-end data pipelines for AI apps (LLMs).
• Minimum 6 years experience with relational databases, object stores, graph databases, and vector DBs.
• Minimum 6 years of managerial experience with sales/pre-sales exposure.
• Experience with NLP techniques and/or search techniques, prompt engineering.
• 5+ years hands-on cloud platform experience (AWS, Azure, GCP).
• 5+ years Python, TensorFlow/PyTorch, and ETL tools (NiFi, Airflow).
• PhD in CS/EE/Math or related field.

Responsibilities

• SME with deep knowledge and experience.
• Influencing and advisory capabilities across teams.
• Engage with multiple teams and guide decisions.
• Provide cross-team solutions to business problems.
• Align knowledge frameworks with organizational goals.
• Continuously evaluate and improve knowledge models for AI systems.
• Mentor junior team members and promote best practices.

Skills

Snowflake Data Warehouse

Machine Learning

Data Engineering

Education

15 years full time education

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 :

Snowflake Data Warehouse

Good to have skills :

Data Engineering, Machine Learning (ML)

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.

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.