Knowledge Engineer / Semantic Expert for AI Sr Manager

About the role

You are a Knowledge Engineer who formulates real-world problems into practical, efficient, and scalable AI and Knowledge Graph problems. You lead a team and provide guidance to explore and implement new methodologies, model building techniques, and cutting-edge algorithms.

You have a deep understanding and ability to remain at the forefront of knowledge engineering, generative AI, LLM, and multi-modal models. You design, evaluate, and maintain ontologies. You justify the value of innovative generative AI and knowledge graph approaches in business problems and construct methodologies and data architectures that clearly demonstrate their value.

You work collaboratively with teams from both the business and technical side, including users, use case representatives, business owners, engineers, architects, and UI designers, to achieve end-to-end project development goals.

Responsibilities

• Build Knowledge Graph solutions that transform clients’ data architecture.
• Design, develop, and implement AI and semantic solutions and ensure seamless integration of all components.
• Collaborate with the project team, team leaders, project 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 semantic layer solution recommended to the client.
• Pitch in on Accenture sales efforts when needed.
• Continuously learn and develop cutting-edge Data & AI solutions, especially agentic technologies, through leadership on technology trends, new opportunities, and innovations, or foreseeable limitations, risks, and concerns.

Requirements

• Bachelor's degree or equivalent (minimum 12 years' work experience).
• Minimum of 4 years of experience in designing and developing knowledge graph solutions and graph-based machine learning models.
• Minimum of 3 end-to-end data pipeline implementations for AI applications, particularly those involving LLMs or similar models.
• Minimum of 6 years strong knowledge of relational databases, object stores, graph databases (e.g. Stardog, Neo4J, Amazon Neptune), and vector databases.
• Minimum of 6 years of experience in Knowledge Graph technologies (e.g. RDF, SPARQL, LPG, SHACL).
• Minimum of 6 years of experience with schema design, ontology management, and Knowledge Graph curation.
• Minimum of 6 years of managerial experience working with people, able to clearly explain the value of semantic layer and knowledge graphs to senior business and technology stakeholders, and proven track record selling and/or pre-sales and delivering data transformation programs and developing teams.

Qualifications

• Broad experience in diverse ML techniques and agentic systems.

Skills

• 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 with Python, including 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.
• External client-facing consulting experience.
• Ph.D. in Computer Science, Computer or Electrical Engineering, Mathematics, or a related field.

Benefits

Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience.

We anticipate this job posting will be posted until 07/21/2026.

Accenture offers a market competitive suite of benefits including medical, dental, vision, life, and long-term disability coverage, a 401(k) plan, bonus opportunities, paid holidays, and paid time off.

See more information on our benefits here.