Knowledge Engineering Solution Architect Associate Director
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Role details
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Job description
You remain hands-on: you develop baseline ontology models, establish data quality shapes (SHACL/ShEx), write core SPARQL/Cypher queries, and build prototype data/graph pipelines using Python and SQL/SPARQL. You set modeling standards for engineering teams, author the semantic/knowledge sections of RFPs, lead technical discovery workshops,and create reusable semantic assets that accelerate practice delivery.
Solutioning & Presales Strategy - Lead the knowledge engineering and ontology workstreams for client proposals, including solution architecture, technical approach, staffing models, and effort estimations. Facilitate discovery workshops with business and technical stakeholders to define domain boundaries, high-value use cases, and key performance indicators (KPIs). Build business cases for Knowledge Graphs, Semantic Layers, and Generative AI / GraphRAG architectures-quantifying ROI, defining success metrics, and designing proof-of-concept (PoC) pilots. Present technical architectures during client orals, executive briefings, and vendor evaluations; build interactive modeling demos on sample enterprise datasets. Draft Statements of Work (SOWs), deliverables, and scope guardrails for ontology, graph analytics, and semantic layer implementations.
Ontology & Knowledge System Design
- Design the upper ontology (meta-model) and establish inheritance and specialization rules across domain and sub-domain ontology modules.
- Model core domain entities, relationships, attributes, business glossaries, intent taxonomies, and cross-walk mappings to industry standards (e.g., FIBO, SNOMED, W3C standards).
- Architect bitemporal data models (valid-time and transaction-time) to track historical state changes, schema evolution, and ontology versioning.
- Define data quality constraints (SHACL), entity resolution frameworks, and semantic governance policies to prevent semantic drift across multi-source integrations.
Travel may be required for this role. The amount of travel will vary from 0% to 100% depending on business need and client requirements., Accenture 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.
Requirements
- Minimum of 12 years in enterprise software engineering, including significant brownfield modernization at multi-million-LOC scale.
- Minimum of 8 years in enterprise data architecture, semantic modeling, ontology design, and knowledge graph engineering
- Minimum of 5 years of hands-on experience designing and operating large-scale distributed data pipelines, analytics engines, and enterprise data platforms.
- Minimum 5 years working fluency with knowledge graphs and ontology modeling (skill matrix for this family: Ontology, Knowledge Graph, Data Taxonomy), plus static analysis, dependency analysis, and Git history mining.
- Minimum of 3 years of Python (for graph analytics, RDF processing, and data engineering) alongside advanced fluency in SPARQL, Cypher, and SQL.
- Minimum 5 years of experience leading the development, commercialization, or ongoing evolution of a productized offering, platform, or reusable methodology, with direct accountability for its roadmap, adoption, or business outcomes
- Bachelorβs degree or equivalent (minimum 12 years) work experience. (If Associateβs Degree, must have minimum 6 years work experience).
Benefits & conditions
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. 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 12/04/2026.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, Role Location Annual Salary RangeCalifornia $163,000 to $434,000Colorado $163,000 to $375,000Connecticut $163,000 to $375,000District of Columbia $173,500 to $399,300Illinois $150,900 to $375,000Maine $138,800 to $319,400Maryland $163,000 to $375,000Massachusetts $163,000 to $399,300Minnesota $163,000 to $375,000New York $150,900 to $434,000New Jersey $173,500 to $434,000Ohio $150,900 to $347,200Virginia $150,900 to $399,300Washington $173,500 to $399,300
About the company
Accenture helps the worldβs 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.
We Are:
Accenture 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.
The Digital Core Reinvention practice does work few others attempt: methodically excavating what is actually inside an enterpriseβs code and process before anyone dares to transform it. Code Archaeology is that discipline - AI agents digging through millions of lines of legacy so the transformation stands on evidence, not folklore., For details, view a copy of the Accenture Equal Opportunity Statement (https://www.accenture.com/content/dam/accenture/final/accenture-com/document-4/Accenture-Equal-Opportunity-Statement.pdf#zoom=50)
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 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 Companyβs legal duty to furnish information.
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