Knowledge Engineering Senior Analyst

Accenture; City Of London; Presencial; GBP 80 000 - 120 000; Tempo integral

Resumo da oferta

Accenture is seeking a Knowledge Engineering Senior Analyst in Greater London to design and build knowledge graphs and AI solutions across the lifecycle.

You will work hands-on from ingestion through modeling and deployment, guiding junior engineers, collaborating with users and engineers across time zones, and supporting sales efforts with semantic layer evidence.

Strong knowledge of RDF/SPARQL, KG design, NLP/ML, and cloud platforms is required, with experience in agentic systems.

Qualificações

• Knowledge of RDF, SPARQL, LPG, SHACL.
• Experience with KG design, ontology management, KG curation.
• End-to-end data pipelines for AI/LLMs, with hands-on design.
• Strong relational and graph DB knowledge; vector databases.

Responsabilidades

• Build Knowledge Graph components contributing to client data architecture.
• Design, develop, and implement AI/semantic solutions; integrate with system.
• Collaborate with project team and delivery leads.
• Build solid client relationships on the workstream.
• Assemble evidence for the semantic layer solution.
• Support Accenture sales efforts when called on.
• Develop skills in data & AI, especially agentic tech, and share with the team.

Conhecimentos

Knowledge Graph technologies

KG design & curation

KG solutions & graph ML models

End-to-end data pipeline for AI/LLMs

Relational databases & graph databases

Cloud platforms (AWS/Azure/GCP)

Python & ML frameworks (TensorFlow, Py

Formação académica

Bachelor's degree or equivalent

Ferramentas

Stardog

Neo4J

Amazon Neptune

Descrição da oferta de emprego

Knowledge Engineering Senior Analyst

2026-09-29T00:00:00

Clerkenwell

Greater London

GB

EC1R 0

Any

2026-12-30T23:01:36.283

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 share with the team.

Basic (Required) Qualifications

• 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


• Expertise in designing and developing KG solutions and graph-based ML models (functional + technical)


• Experience with end-to-end data pipeline implementation for AI applications (esp. LLMs), with hands-on design and configuration


• Experience with strong knowledge of relational databases, object stores, graph databases (Stardog, Neo4J, Amazon Neptune), and vector databases

Preferred Qualifications

• 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


• 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.

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.