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
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Hybrid working and flexible working models that support your individual needs
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Access to certifications, learning platforms, and more than 30,000 training opportunities
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Employee Share Purchase Program (ESPP) with preferential conditions
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Employee Assistance Program (EAP) and wellbeing resources to support your mental and emotional health
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Opportunity to work on cutting-edge Knowledge Graph, Generative AI, and agentic AI projects for leading organisations
Your unique combination of skills, personality, and aspirations sets you apart. When distinct talents, strengths, and perspectives merge, the result is nothing short of extraordinary: ideas that propel the world forward. This is why we champion diversity and personal development at Accenture. Create a working environment where you truly thrive; with responsibilities that resonate deeply; with a workload that is perfectly aligned with your capabilities; and methods that are tailored to your objectives. How you wish to connect, further your development, and personally evolve rests in your hands. This is your career. We are mere facilitators, helping you shape it exactly as you envision.
Any questions left? Feel free to contact our recruiting team via email at
[email protected] We look forward to your application.
