Knowledge Engineer / Semantic Expert for AI Sr Manager

You Are As a Knowledge Engineer, 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 techniques with the right architecture to solve real‑world problems. You have a deep understanding of knowledge engineering, generative AI, LLM, and multi‑modal models, and you drive 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. The Work Build Knowledge Graph solutions that transform clients’ data architecture. Design, develop, and implement AI and semantic solutions, ensuring seamless integration of all components. Work with project team leaders, delivery leads, and client stakeholders to create stand‑out 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 to the client. Participate in Accenture sales efforts when required. Continue to learn and develop cutting‑edge Data & AI solutions, especially agentic technologies; provide 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. Here’s What You Need Bachelor’s degree or equivalent (minimum 12 years’ work experience). If Associate’s Degree, must have equivalent minimum 6-year 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, including hands‑on design and configuration. Minimum of 6 years of 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, clearly explaining the value of semantic layer and knowledge graphs to senior business and technology stakeholders, and a proven track record selling and/or pre‑sales and delivering data transformation programs and developing teams. Bonus Points If Experience in practical NLP techniques and/or search techniques, prompt engineering. Experience with LLMs for enterprise‑scale applications. 5+ years of hands‑on experience with cloud platforms (AWS, Azure, GCP). 5+ years of 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. 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. 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, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities. For details, view a copy of the Accenture Equal Opportunity Statement. Accenture is an EEO and affirmative action employer of veterans/individuals with disabilities. Accenture is committed to providing veteran employment opportunities to our service men and women. Other Employment Statements Applicants for employment in the US must have work authorization that does not require sponsorship of a visa for employment authorization in the United States. Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration. Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. At Accenture, a criminal conviction history is not an absolute bar to employment. The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as part of their essential job functions cannot disclose that pay unless required by law or a formal investigation. #J-18808-Ljbffr Accenture