Knowledge Engineering Manager / Senior Manager (all genders)
Shape the future of enerprise AI and Knowledge Graph solutions.
Shape the future of enerprise AI and Knowledge Graph solutions.
As a Technical Lead Engineer – ML, you will develop the next generation of AI-powered radar perception systems for autonomous vehicles.
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Wir schreiben dir, sobald eine neue geprüfte Stelle dazukommt. Höchstens eine Nachricht am Tag, und nur, wenn es tatsächlich etwas Neues gibt.
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Warum dieser Job gelistet ist
KI ist Gegenstand der Rolle (Kernbegriffe in Titel/Anforderungen). Prüfverfahren ansehen
Performance Equity and leadership investment opportunities - Access to more than 30,000 training opportunities, certifications, mentoring, and coaching programmes - Flexible working models including mobile working and home office opportunities The Accenture Culture: Here, YOU are the catalyst for change 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. Contact Us Any questions left? Feel free to contact our recruiting team via email at.
We look forward to your application 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 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.
Shape the future of enerprise AI and Knowledge Graph solutions. Lead large-scale transformation programmes and define the next generation of semantic and agentic technologies. Your Mission You lead the complete knowledge engineering scope on our most strategic and complex programs; lead creation of thought leadership, innovation, and assets for the discipline.
You own how the most demanding programs formulate real-world problems into scalable AI and KG solutions, setting strategy and architecture end to end. You lead and develop teams of engineers, building capability across the discipline and guiding adoption of new methods and algorithms. You define what staying at the forefront means for the practice; drive innovation and translate it into new offerings.
You set the standards for how ontologies are designed, evaluated, and maintained across programs. You make the case to senior stakeholders and shape the methodologies and data architectures that prove value at scale. You lead the creation of thought leadership, innovation, and reusable assets that advance the discipline beyond any single engagement.
You partner with business and technical leaders to direct end-to-end delivery across complex, multi-stakeholder programs. At Accenture, you shape the environment in which you thrive – with ways of working that suit you. You stay flexible and become part of a team full of unique individuals who make a difference together.
Your Daily Work - Lead the complete Knowledge Graph solution scope that transforms data architecture for our most strategic and complex clients. - Own the design, development, and implementation of AI and semantic solutions across the program. - Partner with project leaders, delivery leads, and senior client stakeholders to create stand-out, graph-powered offerings. - Develop trusted-advisor relationships with senior client stakeholders. - Make and defend the business case for the semantic layer solution at the executive level. - Lead Accenture sales and pre-sales efforts and shape data transformation programs. - Drive the practice s thought leadership, innovation, and asset development on trends and agentic technologies, and develop the teams who deliver them. Who You Are - Bachelor s degree or equivalent - Significant experience with Knowledge Graph technologies (RDF, SPARQL, LPG, SHACL) - Considerable experience in schema design, ontology management, and KG curation - Well versed in designing and developing KG solutions and graph-based ML models (functional + technical) - Experience with end-to-end data pipeline implementations for AI applications (esp. LLMs), with hands-on design and configuration - Strong knowledge and working experience of relational databases, object stores, graph databases (Stardog, Neo4J, Amazon Neptune), and vector databases - Managerial experience leading people, able to explain the value of the semantic layer and knowledge graphs to senior business and technology stakeholders, with a proven track record in sales and/or pre-sales and in delivering data transformation programs and developing teams Preferred experience: - Experience in Practical experience with NLP techniques and/or Search Techniques, prompt engineering - Experience with LLMs for enterprise-scale applications - 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) - 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
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Zur OriginalanzeigeModelle bauen, trainieren und verbessern: von klassischem Machine Learning über Computer Vision bis zum Feinschliff großer Sprachmodelle.