> Markdown version of [/jobs/ext/4721553-knowledge-engineering-solution-architect-associate-director](https://www.wearedevelopers.com/jobs/ext/4721553-knowledge-engineering-solution-architect-associate-director). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Knowledge Engineering Solution Architect Associate Director - **Company:** Accenture - **Location:** St. Petersburg, FL, United States - **Experience:** Experienced - **Salary:** $163,000 - **Contract:** Permanent contract - **Skills:** Static Program Analysis, Data Architecture, Information Engineering, Distributed Data Store, Graph Database, Python (Programming Language), Neo4j, SPARQL, SQL Databases, Management of Software Versions, Enterprise Data Management, Enterprise Software Applications, Ontology Design, Generative AI, Knowledge Engineering, Git, Data Layers, Graph RAG, Semantic Modeling - **Published:** November 14, 2026 - **Apply:** https://dejobs.org/x/x/84811CBE8E154FFA980D22C6A0FF4D9C/job/ ## About the Role * 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 * Bachelor's degree or equivalent (minimum 12 years) work experience. (If Associate's Degree, must have minimum 6 years work experience). ## 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.