Application Architect
About The Position
Orion Innovation is a premier, award-winning, global business and technology services firm. Orion delivers game-changing business transformation and product development rooted in digital strategy, experience design, and engineering, with a unique combination of agility, scale, and maturity. We work with a wide range of clients across many industries including financial services, professional services, telecommunications and media, consumer products, automotive, industrial automation, professional sports and entertainment, life sciences, ecommerce, and education. Application Architect Project Overview: Seeking an experienced Information Architect to design and implement enterprise knowledge graphs and semantic data structures to power AI-driven solutions, requiring expertise in metadata management, schema design, ontology creation, and data integration across systems. Information Architect
Requirements
- Bachelor’s/Master’s in Information Science, Computer Science, Data Engineering, or related
- 5+ years in information architecture/semantic modeling
- Proven experience in knowledge graphs, ontologies, semantic schemas
- Expertise in metadata management, schema harmonization, and multi-application integration
- Experience with Azure Cognitive Search, Data Lake, Synapse, Azure AI
- Hands-on with OpenAI APIs, LangGraph/LangChain, vector databases, AI graph frameworks
- Proficiency with Neo4j, Stardog, Azure Cosmos DB Graph, RDF/SPARQL
- Familiarity with embeddings, RAG pipelines, LLM search/reasoning
- Proven expertise in Information Architecture and its fundamentals.
- A minimum of 6 years of relevant professional experience in application architecture.
Nice To Haves
- Experience with enterprise KG tools (TigerGraph, Stardog, Anzo, GraphQL)
- Knowledge of data governance (GDPR, SOX, etc.)
- Strong communication bridging technical and business
- Prior work in large-scale AI/ML or digital transformation
Responsibilities
- Design ontologies, taxonomies, semantic schemas
- Build scalable knowledge graphs
- Map and normalize data across heterogeneous systems
- Define metadata standards and entity mappings
- Ensure compliance and governance alignment
- Architect data flows for RAG, semantic search, and LLM apps
- Integrate knowledge graph structures with OpenAI, LangGraph, Azure Cognitive Search, and other frameworks
- Optimize data indexing and embeddings
- Develop reference architectures and best practices
- Collaborate with architects and SMEs
- Define lifecycle management for schemas and ontologies
- Evaluate emerging tools/technologies
- Conduct POCs for scalable architectures
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Number of Employees
501-1,000 employees
