{"schemaVersion":"jobsearcher.job.v1","id":"3fb5d69e677176dce2e4fecb","url":"https://jobsearcher.com/jobs/3fb5d69e677176dce2e4fecb","canonicalUrl":"https://jobsearcher.com/jobs/3fb5d69e677176dce2e4fecb","title":"Knowledge Engineering Semantic Expert","description":"Knowledge Engineering Manager | Senior Level | Full time\nJob No. R00365660 | Multiple Locations\nAbout Accenture\nAccenture helps the world's leading enterprises reinvent by building their digital core and unleashing the power of AI to create value at speed for organizations across industries. Our strategy is to be the reinvention partner of choice for our clients and lead in the safe, widespread adoption of AI, and to be the most client-focused, AI-enabled, great place to work in the world. We bring together the talent of our approximately 814,000 people with proprietary assets and platforms, deep process and industry expertise, and leading ecosystem relationships to deliver end-to-end solutions and measurable outcomes at scale. Through our Reinvention Services, we offer broad expertise across Cybersecurity, Digital Core, Finance, Industry and Enterprise, Song, Supply Chain and Engineering, and Talent, with advanced capabilities in AI and Data, Industry and Process, and Technology. We serve approximately 9,000 clients and generated approximately $74 billion in FY26 revenue. Visit us at accenture.com.\n\nWe Are:\n\nAccenture is recognized as a global leader in AI and cloud transformation, helping businesses across industries reimagine the digital core for an AI-native operating model. Through partnerships with frontier AI labs such as Anthropic and OpenAI, and the leading cloud providers, Accenture delivers end-to-end services that drive innovation and business agility.\n\nThe Digital Core Reinvention practice builds industry super-ontologies: industry- and ecosystem-specific agentic AI and data engines that encode how a vertical actually operates — its entities, its regulations, its rhythms — so AI systems can reason inside the industry rather than about it.\n\nYou Are:\n\nYou are the technical authority responsible for turning semantic architectures and ontology models into robust, high-performance, and production-ready knowledge systems. You bridge the gap between semantic modeling, software engineering, and modern Big Data analytics infrastructure, building scalable graph data pipelines, microservices, and GraphRAG integration layers.\n\nYou stay hands-on in code: you write production ingestion jobs primarily in Python, tune complex graph queries,integrate graph databases (RDF Triple Stores / Property Graphs) with modern enterprise data lakes, and ensure high availability, low latency, and deterministic reasoning for downstream analytics and AI applications.\n\nThe Work:\n\nArchitect, develop, and implement production knowledge graph solutions using RDF triple stores and/or property graph technologies.\nTranslate semantic architectures, ontologies, and enterprise data models into scalable technical implementations.\nBuild automated data ingestion and transformation pipelines using Python and PySpark to map relational, document, streaming, and unstructured data into graph representations.\nDesign and implement identity resolution, entity disambiguation, entity linking, and link prediction capabilities to create unified, canonical graph records at enterprise scale.\nIntegrate graph databases with enterprise data lakes, lakehouses, analytics platforms, APIs, and downstream applications.\nDevelop high-throughput REST, GraphQL, and/or gRPC services that expose graph traversal, semantic search, and graph query capabilities.\n\nGenerative AI & GraphRAG\n\nDesign and implement GraphRAG and hybrid vector-graph solutions that ground Large Language Models using contextual enterprise knowledge.\nDevelop integration layers that connect knowledge graphs, vector stores, enterprise data platforms, and Generative AI applications.\nBuild data processing and retrieval capabilities that enable LLMs and AI agents to leverage trusted, contextualized enterprise information.\nPartner with AI, data, ontology, and application engineering teams to operationalize knowledge-driven AI solutions.\n\nBig Data & Production Engineering\n\nLeverage Databricks, Apache Spark, or comparable technologies to perform distributed graph transformations, large-scale entity resolution, and semantic data processing.\nDevelop production-grade ETL/ELT pipelines supporting batch, streaming, structured, semi-structured, and unstructured data.\nCreate automated testing, schema validation, and data-quality frameworks using technologies and approaches such as SHACL and Cypher constraints.\nProfile and optimize SPARQL, Cypher, and/or Gremlin query execution for high-volume and high-concurrency environments.\nDesign indexing, caching, partitioning, and query optimization strategies to improve graph performance and scalability.\nEstablish CI/CD practices for ontology and graph deployments, version control, automated testing, and infrastructure-as-code across cloud environments.\nDesign solutions for high availability, low latency, scalability, observability, and production resiliency.\nMentor senior and mid-level engineers in knowledge graph engineering, Python development, distributed data processing, and performance optimization.\n\nTravel may be required for this role. The amount of travel will vary from 0 to 100% depending on business need and client requirements.\nHere’s What You Need\nMinimum of 5 years of hands-on experience in Big Data engineering, data engineering, or analytics engineering, including development of scalable ETL/ELT pipelines for batch and/or streaming workloads.\nMinimum 2 years in Python, with hands-on experience using relevant libraries and frameworks such as PySpark, RDFLib, NetworkX, and FastAPI.\nMinimum 2 years experience with graph query and data languages such as SPARQL, Cypher, RDF, and/or SQL.\n2 years knowledge graph and graph database technologies, including experience with platforms such as Neo4j, Stardog, GraphDB, and/or Amazon Neptune.\n\nBonus Points If You Have\n\nHands-on experience with Databricks or comparable modern data platforms, including PySpark, Spark SQL, Delta Lake, Snowflake, Unity Catalog, and/or enterprise lakehouse architectures.\nExperience developing lakehouse-to-graph ingestion pipelines and large-scale semantic data transformation workloads.\nExperience implementing GraphRAG, Retrieval-Augmented Generation (RAG), vector search, and hybrid vector-graph architectures for Generative AI applications.\nExperience with SHACL, graph schema validation, ontology versioning, and semantic data-quality frameworks.\nExperience implementing RDF and/or property graph architectures in production environments.\nExperience with regulatory or compliance-driven modeling.\nGraph-based ML alongside symbolic modeling.\n\nCompensation 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.\nWe anticipate this job posting will be posted until 12/04/2026.\n\nAccenture 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:\n\nU.S. Employee Benefits | Accenture\n\nRole Location Annual Salary Range\nCalifornia $94,400 to $293,800\nColorado $94,400 to $253,800\nConnecticut $94,400 to $253,800\nDistrict of Columbia $100,500 to $270,300\nIllinois $87,400 to $253,800\nMaine $80,400 to $216,200\nMaryland $94,400 to $253,800\nMassachusetts $94,400 to $270,300\nMinnesota $94,400 to $253,800\nNew York $87,400 to $293,800\nNew Jersey $100,500 to $293,800\nOhio $87,400 to $235,000\nVirginia $87,400 to $270,300\nWashington $100,500 to $270,300\n\n#LI-NA-FY25\n\n#LI-NA\n\n#LI-MP\nChicago, IL\n\nAlbany, NY\n\nArlington, VA\n\nAtlanta, GA\n\nAustin, TX\n\nBeaverton, OR\n\nBentonville, AR\n\nBoston, MA\n\nCarmel, IN\n\nCharlotte, NC\n\nCincinnati, OH\n\nCleveland, OH\n\nColumbus, OH\n\nCulver City, CA\n\nDenver, CO\n\nDes Moines, IA\n\nDetroit, MI\n\nHartford, CT\n\nHouston, TX\n\nIrving, TX\n\nKirkland, WA\n\nMiami, FL\n\nMilwaukee, WI\n\nMinneapolis, MN\n\nMorristown, NJ\n\nMountain View, CA\n\nNashville, TN\n\nNew York City, NY\n\nOklahoma City, OK\n\nOrlando, FL\n\nOverland Park, KS\n\nPhiladelphia, PA\n\nPittsburgh, PA\n\nRaleigh, NC\n\nRedmond, WA\n\nSacramento, CA\n\nSan Diego, CA\n\nSan Francisco, CA\n\nScottsdale, AZ\n\nSeattle, WA\n\nSt. Louis, MO\n\nSt. Petersburg, FL\n\nWalnut Creek, CA\nRequesting an Accommodation\n\nAccenture 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.\n\nIf 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 1 (877) 889-9009 or send us an email or speak with your recruiter.\n\nEqual Employment Opportunity Statement\n\nWe 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.\n\nAccenture is an EEO and Affirmative Action Employer of Veterans/Individuals with Disabilities.\n\nAccenture is committed to providing veteran employment opportunities to our service men and women.\n\nOther Employment Statements\n\nApplicants 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.\n\nCandidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration.\n\nJob 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.\n\nThe 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.\n\nCalifornia 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 for additional important information.\n\nPlease read Accenture’s Recruiting and Hiring Statement for more information on how we process your data during the Recruiting and Hiring process.\nWe work with one shared purpose: to deliver on the promise of technology and human ingenuity. Every day, more than 775,000 of us help our stakeholders continuously reinvent. Together, we drive positive change and deliver value to our clients, partners, shareholders, communities, and each other.\n\nWe believe that delivering value requires innovation, and innovation thrives in an inclusive and diverse environment. We actively foster a workplace free from bias, where everyone feels a sense of belonging and is respected and empowered to do their best work.\n\nAt Accenture, we see well-being holistically, supporting our people’s physical, mental, and financial health. We also provide opportunities to keep skills relevant through certifications, learning, and diverse work experiences. We’re proud to be consistently recognized as one of the World’s Best Workplaces™.\n\nJoin Accenture to work at the heart of change. Visit us at www.accenture.com.","company":"Logicinc","rawCompany":"logicinc","city":"Chicago","state":"IL","isRemote":false,"isActive":false,"createdAt":"2026-11-08T09:48:00.844Z","occupations":[{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1243.00","title":"Database Architects","slug":"database-architects"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Knowledge Engineering Semantic Expert","description":"Knowledge Engineering Manager | Senior Level | Full time\nJob No. R00365660 | Multiple Locations\nAbout Accenture\nAccenture helps the world's leading enterprises reinvent by building their digital core and unleashing the power of AI to create value at speed for organizations across industries. Our strategy is to be the reinvention partner of choice for our clients and lead in the safe, widespread adoption of AI, and to be the most client-focused, AI-enabled, great place to work in the world. We bring together the talent of our approximately 814,000 people with proprietary assets and platforms, deep process and industry expertise, and leading ecosystem relationships to deliver end-to-end solutions and measurable outcomes at scale. Through our Reinvention Services, we offer broad expertise across Cybersecurity, Digital Core, Finance, Industry and Enterprise, Song, Supply Chain and Engineering, and Talent, with advanced capabilities in AI and Data, Industry and Process, and Technology. We serve approximately 9,000 clients and generated approximately $74 billion in FY26 revenue. Visit us at accenture.com.\n\nWe Are:\n\nAccenture is recognized as a global leader in AI and cloud transformation, helping businesses across industries reimagine the digital core for an AI-native operating model. Through partnerships with frontier AI labs such as Anthropic and OpenAI, and the leading cloud providers, Accenture delivers end-to-end services that drive innovation and business agility.\n\nThe Digital Core Reinvention practice builds industry super-ontologies: industry- and ecosystem-specific agentic AI and data engines that encode how a vertical actually operates — its entities, its regulations, its rhythms — so AI systems can reason inside the industry rather than about it.\n\nYou Are:\n\nYou are the technical authority responsible for turning semantic architectures and ontology models into robust, high-performance, and production-ready knowledge systems. You bridge the gap between semantic modeling, software engineering, and modern Big Data analytics infrastructure, building scalable graph data pipelines, microservices, and GraphRAG integration layers.\n\nYou stay hands-on in code: you write production ingestion jobs primarily in Python, tune complex graph queries,integrate graph databases (RDF Triple Stores / Property Graphs) with modern enterprise data lakes, and ensure high availability, low latency, and deterministic reasoning for downstream analytics and AI applications.\n\nThe Work:\n\nArchitect, develop, and implement production knowledge graph solutions using RDF triple stores and/or property graph technologies.\nTranslate semantic architectures, ontologies, and enterprise data models into scalable technical implementations.\nBuild automated data ingestion and transformation pipelines using Python and PySpark to map relational, document, streaming, and unstructured data into graph representations.\nDesign and implement identity resolution, entity disambiguation, entity linking, and link prediction capabilities to create unified, canonical graph records at enterprise scale.\nIntegrate graph databases with enterprise data lakes, lakehouses, analytics platforms, APIs, and downstream applications.\nDevelop high-throughput REST, GraphQL, and/or gRPC services that expose graph traversal, semantic search, and graph query capabilities.\n\nGenerative AI & GraphRAG\n\nDesign and implement GraphRAG and hybrid vector-graph solutions that ground Large Language Models using contextual enterprise knowledge.\nDevelop integration layers that connect knowledge graphs, vector stores, enterprise data platforms, and Generative AI applications.\nBuild data processing and retrieval capabilities that enable LLMs and AI agents to leverage trusted, contextualized enterprise information.\nPartner with AI, data, ontology, and application engineering teams to operationalize knowledge-driven AI solutions.\n\nBig Data & Production Engineering\n\nLeverage Databricks, Apache Spark, or comparable technologies to perform distributed graph transformations, large-scale entity resolution, and semantic data processing.\nDevelop production-grade ETL/ELT pipelines supporting batch, streaming, structured, semi-structured, and unstructured data.\nCreate automated testing, schema validation, and data-quality frameworks using technologies and approaches such as SHACL and Cypher constraints.\nProfile and optimize SPARQL, Cypher, and/or Gremlin query execution for high-volume and high-concurrency environments.\nDesign indexing, caching, partitioning, and query optimization strategies to improve graph performance and scalability.\nEstablish CI/CD practices for ontology and graph deployments, version control, automated testing, and infrastructure-as-code across cloud environments.\nDesign solutions for high availability, low latency, scalability, observability, and production resiliency.\nMentor senior and mid-level engineers in knowledge graph engineering, Python development, distributed data processing, and performance optimization.\n\nTravel may be required for this role. The amount of travel will vary from 0 to 100% depending on business need and client requirements.\nHere’s What You Need\nMinimum of 5 years of hands-on experience in Big Data engineering, data engineering, or analytics engineering, including development of scalable ETL/ELT pipelines for batch and/or streaming workloads.\nMinimum 2 years in Python, with hands-on experience using relevant libraries and frameworks such as PySpark, RDFLib, NetworkX, and FastAPI.\nMinimum 2 years experience with graph query and data languages such as SPARQL, Cypher, RDF, and/or SQL.\n2 years knowledge graph and graph database technologies, including experience with platforms such as Neo4j, Stardog, GraphDB, and/or Amazon Neptune.\n\nBonus Points If You Have\n\nHands-on experience with Databricks or comparable modern data platforms, including PySpark, Spark SQL, Delta Lake, Snowflake, Unity Catalog, and/or enterprise lakehouse architectures.\nExperience developing lakehouse-to-graph ingestion pipelines and large-scale semantic data transformation workloads.\nExperience implementing GraphRAG, Retrieval-Augmented Generation (RAG), vector search, and hybrid vector-graph architectures for Generative AI applications.\nExperience with SHACL, graph schema validation, ontology versioning, and semantic data-quality frameworks.\nExperience implementing RDF and/or property graph architectures in production environments.\nExperience with regulatory or compliance-driven modeling.\nGraph-based ML alongside symbolic modeling.\n\nCompensation 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.\nWe anticipate this job posting will be posted until 12/04/2026.\n\nAccenture 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:\n\nU.S. Employee Benefits | Accenture\n\nRole Location Annual Salary Range\nCalifornia $94,400 to $293,800\nColorado $94,400 to $253,800\nConnecticut $94,400 to $253,800\nDistrict of Columbia $100,500 to $270,300\nIllinois $87,400 to $253,800\nMaine $80,400 to $216,200\nMaryland $94,400 to $253,800\nMassachusetts $94,400 to $270,300\nMinnesota $94,400 to $253,800\nNew York $87,400 to $293,800\nNew Jersey $100,500 to $293,800\nOhio $87,400 to $235,000\nVirginia $87,400 to $270,300\nWashington $100,500 to $270,300\n\n#LI-NA-FY25\n\n#LI-NA\n\n#LI-MP\nChicago, IL\n\nAlbany, NY\n\nArlington, VA\n\nAtlanta, GA\n\nAustin, TX\n\nBeaverton, OR\n\nBentonville, AR\n\nBoston, MA\n\nCarmel, IN\n\nCharlotte, NC\n\nCincinnati, OH\n\nCleveland, OH\n\nColumbus, OH\n\nCulver City, CA\n\nDenver, CO\n\nDes Moines, IA\n\nDetroit, MI\n\nHartford, CT\n\nHouston, TX\n\nIrving, TX\n\nKirkland, WA\n\nMiami, FL\n\nMilwaukee, WI\n\nMinneapolis, MN\n\nMorristown, NJ\n\nMountain View, CA\n\nNashville, TN\n\nNew York City, NY\n\nOklahoma City, OK\n\nOrlando, FL\n\nOverland Park, KS\n\nPhiladelphia, PA\n\nPittsburgh, PA\n\nRaleigh, NC\n\nRedmond, WA\n\nSacramento, CA\n\nSan Diego, CA\n\nSan Francisco, CA\n\nScottsdale, AZ\n\nSeattle, WA\n\nSt. Louis, MO\n\nSt. Petersburg, FL\n\nWalnut Creek, CA\nRequesting an Accommodation\n\nAccenture 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.\n\nIf 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 1 (877) 889-9009 or send us an email or speak with your recruiter.\n\nEqual Employment Opportunity Statement\n\nWe 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.\n\nAccenture is an EEO and Affirmative Action Employer of Veterans/Individuals with Disabilities.\n\nAccenture is committed to providing veteran employment opportunities to our service men and women.\n\nOther Employment Statements\n\nApplicants 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.\n\nCandidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration.\n\nJob 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.\n\nThe 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.\n\nCalifornia 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 for additional important information.\n\nPlease read Accenture’s Recruiting and Hiring Statement for more information on how we process your data during the Recruiting and Hiring process.\nWe work with one shared purpose: to deliver on the promise of technology and human ingenuity. Every day, more than 775,000 of us help our stakeholders continuously reinvent. Together, we drive positive change and deliver value to our clients, partners, shareholders, communities, and each other.\n\nWe believe that delivering value requires innovation, and innovation thrives in an inclusive and diverse environment. We actively foster a workplace free from bias, where everyone feels a sense of belonging and is respected and empowered to do their best work.\n\nAt Accenture, we see well-being holistically, supporting our people’s physical, mental, and financial health. We also provide opportunities to keep skills relevant through certifications, learning, and diverse work experiences. We’re proud to be consistently recognized as one of the World’s Best Workplaces™.\n\nJoin Accenture to work at the heart of change. Visit us at www.accenture.com.","datePosted":"2026-11-08T09:48:00.844Z","dateModified":"2026-11-08T09:48:00.844Z","hiringOrganization":{"@type":"Organization","name":"Logicinc","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Chicago","addressRegion":"IL","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"3fb5d69e677176dce2e4fecb"},"url":"https://jobsearcher.com/jobs/3fb5d69e677176dce2e4fecb"}}