Knowledge Engineering Consultant
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.
THE 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.
BASIC (REQUIRED) QUALIFICATION
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 QUALIFICATION
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
Kronberg
Accenture garantisce le pari opportunità
Tutte le decisioni relative all’impiego vengono prese senza alcuna discriminazione basata su età, razza, credo, colore, religione, sesso, origine nazionale, ascendenza, disabilità, status di veterano, orientamento sessuale, identità o espressione di genere, informazioni genetiche, stato civile, cittadinanza o qualsiasi altra caratteristica tutelata dalla normativa vigente.
Accenture si impegna a promuovere opportunità di impiego per i veterani delle forze armate.
Ti invitiamo a consultare il Recruiting and Hiring Statement di Accenture per maggiori informazioni sul trattamento dei tuoi dati personali durante il processo di recruiting e assunzione.
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