Role at a glance
- Salary
- Not Disclosed
- Location
- Kronberg, Campus Kronberg 1
- Employment
- Full-time
- Education
- Bachelor's degree or equivalent, plus at least 3 of the following:
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Role Summary
This Knowledge Engineering Consultant role centers on building Knowledge Graph components and AI and semantic solutions that contribute to transforming a client's data architecture. The work spans the knowledge graph lifecycle from ingestion through modeling, curation, and deployment, alongside project teams, delivery leads, and client counterparts.
What You'll Do
- Build Knowledge Graph components that contribute to transforming a client's data architecture.
- Design, develop, and implement AI and semantic solutions; ensure their work integrates cleanly with the broader system.
- Work alongside the project team and delivery leads.
- Build solid working relationships with client counterparts on their workstream.
- Help assemble the supporting evidence for the recommended semantic layer solution.
- Support Accenture sales efforts when called on.
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
A bachelor's degree or equivalent plus at least three of the listed knowledge graph, data pipeline, and graph or vector database experience areas.
Required
- Bachelor's degree or equivalent
- Experience with Knowledge Graph technologies (RDF, SPARQL, LPG, SHACL)
- Experience in schema design, ontology management, and KG curation
- Well versed in designing and developing KG solutions and graph-based ML models (functional + technical)
- Proven experience with end-to-end data pipeline implementation for AI applications (esp. LLMs), with hands-on design and configuration
- Strong knowledge and working experience with relational databases, object stores, graph databases (Stardog, Neo4J, Amazon Neptune), and...
Preferred
- Hands-on experience with cloud platforms (AWS, Azure, GCP)
- Well versed in Python, with experience in frameworks like Tensorflow, PyTorch, and tools for building ETL pipelines (e.g. Apache NiFi,...
- Practical experience with NLP and/or Search techniques
- Prompt engineering, and LLMs for enterprise-scale applications
- Team lead experience
- Strong collaboration skills with the ability to work across engineering, research, and product teams across multiple time zones
- External client-facing consulting experience
- Broad experience in diverse ML techniques and agentic systems
Original job description
Content provided by the employer
Original job description
Content provided by the employer
YOU ARE
You are a a strong individual contributor knowledge engineer growing into a team lead. You are well versed in the full knowledge graph development lifecycle. You formulate real-world problems into practical, efficient, scalable AI and Knowledge Graph solutions, working hands-on across the lifecycle from ingestion through modeling, curation, and deployment. You apply current methodologies, techniques, and algorithms with the right architecture, and begin to guide junior engineers on the project. You stay current with knowledge engineering, generative AI, LLM, and multi-modal models; look for opportunities to apply them to the problem at hand. You design, evaluate, and maintain ontologies as needed. You help articulate the value of generative AI and knowledge graph approaches for a given business problem. You share what they learn with the team. You collaborate with users, use case reps, engineers, architects, and UI designers to deliver their piece of an end-to-end solution.
Your Daily Work
Build Knowledge Graph components that contribute to transforming a client's data architecture.
Design, develop, and implement AI and semantic solutions; ensure their work integrates cleanly with the broader system.
Work alongside the project team and delivery leads.
Build solid working relationships with client counterparts on their workstream.
Help assemble the supporting evidence for the recommended semantic layer solution.
Support Accenture sales efforts when called on.
Keep developing skills in cutting-edge Data & AI solutions, especially agentic technologies, and shares with the team.
Who You Are
Bachelor's degree or equivalent, plus at least 3 of the following:
Experience with Knowledge Graph technologies (RDF, SPARQL, LPG, SHACL)
Experience in schema design, ontology management, and KG curation
Well versed in designing and developing KG solutions and graph-based ML models (functional + technical)
Proven experience with end-to-end data pipeline implementation for AI applications (esp. LLMs), with hands-on design and configuration
Strong knowledge and working experience with relational databases, object stores, graph databases (Stardog, Neo4J, Amazon Neptune), and vector databases
(no leadership/commercial requirement at this band)
Preferred Experience
Hands-on experience with cloud platforms (AWS, Azure, GCP)
Well versed 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
Broad experience in diverse ML techniques and agentic systems
What We Offer
- Hybrid working and flexible working models that support your individual needs
- Access to certifications, learning platforms, and more than 30,000 training opportunities
- Employee Share Purchase Program (ESPP) with preferential conditions
- Employee Assistance Program (EAP) and wellbeing resources to support your mental and emotional health
- Opportunity to work on cutting-edge Knowledge Graph, Generative AI, and agentic AI projects for leading organisations
The Accenture Culture: Here, YOU are the catalyst for change
Contact Us
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
Erklärung zur Chancengleichheit am Arbeitsplatz
Wir sind der Meinung, dass niemand aufgrund seiner Andersartigkeit diskriminiert werden sollte. Alle Einstellungsentscheidungen werden unabhängig von Alter, Rasse, Glaubensbekenntnis, Hautfarbe, Religion, Geschlecht, nationaler Herkunft, Abstammung, Behinderung, Veteranenstatus, sexueller Orientierung, Geschlechtsidentität oder -ausdruck, genetischen Informationen, Familienstand, Staatsbürgerschaft oder anderen gesetzlich geschützten Kriterien getroffen. Unsere große Vielfalt macht uns innovativer, wettbewerbsfähiger und kreativer und hilft uns, unsere Kunden und unsere Gemeinschaften besser zu betreuen.
About the company
Accenture
Large Enterprise
Accenture is a global professional services company that specializes in providing consulting, technology, and outsourcing services. With a diverse range of industries served, including financial services, healthcare, and telecommunications, Accenture leverages advanced technologies and data analytics to help organizations improve their performance and drive innovation. Committed to sustainable progress, the company emphasizes its dedication to inclusivity, digital transformation, and building a more sustainable future for its clients and communities. With a presence in over 120 countries, Accenture is known for its expertise in integrating cutting-edge solutions that address complex business challenges.