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Knowledge Engineering Associate Manager

Accenture

Amsterdam
Full-time
5-10 years experience
On-site

Key Skills

Knowledge Graphs
Ontology Design
Schema Design
RDF
SPARQL
SHACL
Graph Databases
Graph-Based Machine Learning
AI Solution Design
Data Pipeline Implementation
Large Language Models
Relational Databases
Vector Databases
Python
Team Leadership
Client Consulting

Job Description

#LI-EU


YOU ARE

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 new 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.

THE WORK

  • 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.

EDUCATION

Bachelor's degree or equivalent

BASIC (REQUIRED) QUALIFICATION

  • Bachelor's degree or equivalent, plus at least 4 of the following:
  • Professional experience with Knowledge Graph technologies (RDF, SPARQL, LPG, SHACL)
  • Experience in schema design, ontology management, KG curation
  • Proven experience designing and developing KG solutions and graph-based ML models (functional + technical)
  • Familiarity end-to-end data pipeline implementations for AI applications (esp. LLMs), with hands-on design and configuration
  • Strong knowledge & practical experience of relational databases, object stores, graph databases (Stardog, Neo4J, Amazon Neptune), and vector databases
  • Experience in leading a team or workstream within a larger program

PREFERRED QUALIFICATION

  • Hands-on experience with cloud platforms (AWS, Azure, GCP)
  • 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.

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, sexual orientation, gender identity or expression, 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.

Core Responsibilities

Lead the design and delivery of Knowledge Graph, AI, and semantic solutions, setting technical direction and guiding a team within a large program. Build client relationships, make the business case for semantic solutions, contribute to sales and pre-sales, and provide thought leadership on technology trends and risks.

Requirements

A bachelor's degree or equivalent and experience in at least four listed areas are required, including Knowledge Graph technologies, ontology or schema management, graph-based solutions, AI data pipelines, databases, or team leadership. Preferred qualifications include cloud platforms, Python and ML frameworks, NLP or search, prompt engineering and LLMs, client-facing consulting, and a relevant PhD.

About Accenture

Industry: Business Consulting and Services

Company size: 10,001+ employees

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 814,000 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 $74 billion in FY26 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.

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