Senior Knowledge Engineer

We are:The Advanced Technology Centers (ATCs) are the engine for reinvention in our clients’ transformation journey. Powered by more than 255,000 people across 24 countries, ATCs provide our clients with seamless access to industry insights and innovative technology solutions.Stronger together!The Advanced Technology Centers (ATCs) make a tremendous impact in solving our clients’ business problems by leveraging innovation, intelligence, industry insights, new IT, and new technology skills. With the global environment changing at a faster pace, our clients are facing unprecedented challenges, and they need us more than ever before. As a Network, ATCs are positioned to unlock greater opportunities and exponential value for our clients.The value for our clients and our people:For our clients, the Network provides the strength of our geographic diversity, greater resilience, and seamless access to the deepest industry knowledge, the latest in Gen AI solutions, and tech expertise from around the world.For our people, it brings an opportunity to shape truly boundaryless career paths in a highly collaborative team of experts where they can learn from each other and solve the world’s most complex client challenges.You AreYou are a Knowledge Architect at the intersection of semantic AI and agentic systems — shaping the knowledge backbone of AI platforms by designing the ontologies, graphs, and data models that enable intelligent agents to reason, plan, and act. You are equally comfortable whiteboarding an ontology with a domain expert and pushing graph schemas to production alongside an ML team. You see the world as a graph, and you believe that well-structured knowledge is the foundation of truly intelligent machines. You thrive on translating complex, messy real-world knowledge into clean, reasoned, machine-readable structures that AI agents can act on — and you bring the rigor, curiosity, and collaboration to do it at scale.The WorkYou will embed directly with clients as a trusted technology advisor and hands-on engineer — leading the architecture and development of knowledge graphs, ontologies, and semantic data models that power next-generation agentic AI systems at enterprise scale.ResponsabilitiesOwn the end-to-end design, governance, and maintenance of enterprise-scale knowledge graphs and ontologies, bridging structured domain knowledge with large-scale agentic AI pipelines to enable reasoning, planning, and decision-making.Develop and govern ontologies, taxonomies, and semantic data models that formalize domain knowledge and support interoperability across systems and teams.Define and enforce data modeling standards, schema design patterns, and best practices for structured and semi-structured knowledge representation.Translate complex domain knowledge from subject matter experts into formal, machine-readable knowledge structures using RDF, OWL, SPARQL, or property graph models.Lead knowledge engineering discovery workshops and working sessions with client stakeholders to surface, validate, and formalize domain knowledge requirements.Collaborate with AI/ML engineers to integrate knowledge graphs as grounding and context layers for LLM-based agentic pipelines and retrieval-augmented generation (RAG) systems.Design knowledge structures that support multi-step agent reasoning, tool use, and dynamic planning across heterogeneous data sources.Work with project teams, team leaders, delivery leads, and client stakeholders to create standout Data & AI offerings powered by graph-based technologies.Collaborate with data engineering and platform teams to build scalable pipelines for knowledge graph population, enrichment, and lifecycle management.Develop strong client relationships and earn the trust of key stakeholders as a strategic advisor.Communicate complex ontological concepts and graph architectures clearly to both technical and non-technical audiences.Evaluate and pilot emerging tools, frameworks, and standards (e.g., LPG vs. RDF, Wikidata, schema.org, W3C standards).Required SkillsKnowledge Representation & OntologyOntology design and engineering (OWL, RDF, RDFS)Taxonomy and thesaurus developmentSemantic modeling and linked data principlesSchema design (schema.org, custom domain schemas) and W3C standardsKnowledge Graph TechnologiesProperty graph and RDF graph modelingGraph databases: Neo4j, Amazon Neptune, TigerGraph, StardogSPARQL, Cypher, and Gremlin query languagesGraph traversal, reasoning, inference, entity resolution, and enrichmentAgentic AI & LLM IntegrationRetrieval-Augmented Generation (RAG) architecturesLLM grounding and context design using structured knowledgeAgentic pipeline design: LangChain, LlamaIndex, AutoGenPrompt engineering for knowledge-intensive, enterprise-scale applicationsNeuro-symbolic AI concepts and reasoning frameworksData Modeling & EngineeringConceptual, logical, and physical data modelingGraph schema design and lifecycle managementEntity linking, disambiguation, and deduplicationMetadata management and data governanceProgramming & ToolingPython (primary); graph libraries: NetworkX, RDFLib, PyKEENSPARQL and graph query optimizationREST APIs, microservices integration, Git, CI/CD familiarityCloud platforms: AWS, Azure, GCPLocation & Travel This is a hybrid role based in Dallas, TX, requiring 3 days per week in office. Qualified candidates in Columbus, OH; Tampa, FL; Atlanta, GA; and Houston, TX will also be considered.Travel is required and will vary between 25%–75% depending on business need and client requirements.Heres what you needBachelor's degree or equivalent (minimum 12 years' work experience). Associate's degree requires minimum 6 years' equivalent work experience.4+ years of experience in Knowledge Graph technologies (e.g., RDF, SPARQL, Gremlin, LPG, SHACL, RDFS)2+ years of experience with schema design, ontology management, and Knowledge Graph curation2+ years of experience in semantic modeling and linked data principles2+ years of experience designing and developing knowledge graph solutions and graph-based machine learning models2+ years of experience with relational databases, object stores, graph databases (e.g., Stardog, Neo4j, Amazon Neptune, TigerGraph), and vector databases2+ years of experience in agentic pipeline design (LangChain, LlamaIndex, AutoGen)Preferred Qualifications2+ years of hands-on experience with cloud platforms (AWS, Azure, GCP)2+ years of experience in Python, with frameworks like TensorFlow, PyTorch, and ETL pipeline tools (e.g., Apache NiFi, Airflow)Practical experience with NLP and/or enterprise search techniquesPrompt engineering and LLM experience for enterprise-scale applicationsStrong cross-functional collaboration skills across engineering, research, and product teams in multiple time zonesPh.D. in Computer Science, Electrical Engineering, Mathematics, or a related fieldBroad experience in diverse ML techniques and agentic systemsCompensation 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. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired as set forth below.We anticipate this job posting will be posted until 10/05/2026.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: U.S. Employee Benefits | AccentureRole Location Annual Salary RangeCalifornia $94,400 to $293,800Colorado $94,400 to $253,800Connecticut $94,400 to $253,800District of Columbia $100,500 to $270,300Illinois $87,400 to $253,800Maine $80,400 to $216,200Maryland $94,400 to $253,800Massachusetts $94,400 to $270,300Minnesota $94,400 to $253,800New York $87,400 to $293,800New Jersey $100,500 to $293,800Ohio $87,400 to $235,000Virginia $87,400 to $270,300Washington $100,500 to $270,300Requesting an AccommodationAccenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.If you would like to be considered for employment opportunities with Accenture and have accommodation needs such as for a disability or religious observance, please call us toll free at View phone number on click.appcast.io or send us an email or speak with your recruiter.Equal Employment Opportunity StatementWe 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 and Affirmative Action Policy StatementAccenture is an EEO and Affirmative Action Employer of Females/Minorities/Veterans/Individuals with Disabilities.Accenture is committed to providing veteran employment opportunities to our service men and women.Other Employment StatementsApplicants for employment in the US must have work authorization that does not now or in the future 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. Further, 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 a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information.California requires additional notifications for applicants and employees. If you are a California resident, live in or plan to work from Los Angeles County upon being hired for this position, please click here for additional important information.Please read Accenture’s Recruiting and Hiring Statement for more information on how we process your data during the Recruiting and Hiring process.