Engineer/Semantic Expert AI
Listed on 2026-07-01
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Software Development
AI Engineer (Applied/Software)
We Are
Accenture is helping companies use generative AI and semantic layer to reinvent their enterprise and optimize business functions for breakthrough innovation and competitive advantage. With over 1,600 professionals dedicated to generative AI, leveraging the depth and experience of more than 40,000 AI and data professionals across the company, our Advanced Data & AI team brings together experienced innovation, strategic investment, exceptional talent, and a power ecosystem.
YouAre
- You formulate real‑world problems into practical, efficient, and scalable AI and Knowledge Graph solutions.
- You lead a team and provide guidance to explore and implement new methodologies, model‑building techniques, and cutting‑edge algorithms, applying these with the right architecture to solve real‑world problems.
- You have a deep understanding of knowledge engineering, generative AI, LLMs, and multi‑modal models, driving innovation by applying these techniques to new business problems, use cases, and scenarios.
- You design, evaluate, and maintain ontologies as needed for specific problems.
- You justify the value of innovative generative AI and knowledge graph approaches in business problems, constructing methodologies and data architectures that demonstrate their value.
- You collaborate with business and technical teams—including users, use‑case representatives, business owners, engineers, architects, and UI designers—to achieve end‑to‑end project development goals.
- Build Knowledge Graph solutions that transform clients’ data architecture.
- Design, develop, and implement AI and semantic solutions, ensuring all components work together seamlessly.
- Work with project teams, leaders, delivery leads, and client stakeholders to create standout Data & AI offerings powered by graph‑based technologies.
- Develop strong relationships with clients and gain the trust of key advisors.
- Make the business case for the recommended semantic layer solution.
- Pitch in on Accenture sales efforts when needed.
- Continuously learn and develop cutting‑edge Data & AI solutions, especially agentic technologies, providing leadership on technology trends, new opportunities, innovations, and foreseeable limitations, risks, and concerns.
Travel may be required for this role. The amount of travel will vary from 0% to 100% depending on business need and client requirements.
Requirements- Bachelor’s degree or equivalent (minimum 12 years’ work experience). If Associate’s Degree, must have equivalent minimum 6-year work experience.
- Minimum of 2 or more of the following requirements:
- • Minimum of 2 years of experience in Knowledge Graph technologies (e.g., RDF, SPARQL, LPG, SHACL).
- • Minimum of 2 years of experience with schema design, ontology management, and Knowledge Graph curation.
- • Minimum of 2 years of experience in designing and developing knowledge graph solutions and graph‑based machine learning models, with functional and technical experience required.
- • Minimum of 1 end‑to‑end data pipeline implementation for AI applications, particularly those involving LLMs or similar models, including hands‑on design and configuration.
- • Minimum of 2 years of strong knowledge in relational databases, object stores, graph databases (e.g., Stardog, Neo4j, Amazon Neptune), and vector databases.
- 2+ years of hands‑on experience with cloud platforms (AWS, Azure, GCP).
- 2+ years of 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.
- Team lead experience.
- Strong collaboration skills across engineering, research, and product teams across multiple time zones.
- 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.
Compensation at Accenture varies depending on a wide array of factors, including location, role, skill set, and level of experience. Accenture offers a market competitive suite of…
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