Responsibilities:
- Design the end to end architecture for the Domain Context Model, Business Context Repository, ontology, and AI evaluation framework.
- Define how business context, data products, metadata, semantic layers, and the client’s existing Graph capabilities connect to support AI driven queries.
- Architect the Business Context Repository and its integration with the client’s existing Context Injection component and approved enterprise platforms.
- Establish technical standards for domain modeling, data classification, access controls, security, scalability, and maintainability.
- Design the AI evaluation approach, including ground truth datasets, accuracy measurement, failure classification, and before and after context testing.
- Define agentic workflows and orchestration patterns for automated context capture, enrichment, validation, and refresh with human oversight.
- Provide technical direction to the engineering, validation, business analysis, and techno functional architecture resources.
- Lead solution reviews, resolve architectural issues, support weekly client demonstrations, and oversee technical documentation and knowledge transfer.
Requirements
Required Technical Expertise: Enterprise data and AI solution architecture, Python, SQL, LLMs, RAG and context engineering, ontologies, semantic modeling, knowledge graphs, agentic workflows, AI evaluation, data governance, and cloud architecture.
Skills Required
- Bachelor's degree in computer science, Data Science, Information Systems, or a related field, or equivalent experience
- 8+ years of experience in data architecture or solutions architecture
- 3+ years designing AI or LLM solutions for production use
- Hands-on experience with retrieval-augmented generation, context or prompt engineering, and LLM evaluation
- Experience designing ontologies, semantic layers, or knowledge graphs
- Experience working with business glossaries and metadata catalogs
- Strong SQL and data modeling skills, including verifying join paths, grain, and aggregation logic
- Proficiency in Python for evaluation runners, pipelines, and automation
- Experience with agentic frameworks and orchestration, including human-in-the-loop review design
- Working knowledge of data classification and governance for PII and regulated data
- Strong communication skills with ability to lead weekly demonstrations for senior sponsors
- Ability to translate business questions into testable requirements
- Life sciences or pharmaceutical data experience, including GxP-regulated data
- Experience with Claude or other enterprise LLM platforms
- Graph database experience, such as Neo4j or RDF/OWL
- Cloud certification in AWS, Azure, or GCP
- Active client system credentials for immediate mobilization
What We Do
RADcube is a technology consulting and software development firm founded in 2015 and headquartered in Carmel, Indiana. It helps organizations turn enterprise ideas into practical innovations through digital transformation, custom software, data analytics, artificial intelligence, cloud computing, cybersecurity, and intelligent automation. The company serves healthcare, finance, government, and manufacturing clients, combining human-centric delivery with responsible, accountable technology solutions designed to produce measurable business outcomes.
