Senior AI Solutions Architect – Enterprise Context & R&D

RADcube - A NLogix Company; Indianapolis (IN); On-site; USD 140,000 - 190,000; Full time

Job summary

RADcube - A NLogix Company in Indianapolis seeks a Solutions Architect - AI to own the technical design of enterprise knowledge capture and AI delivery. The role shapes the domain context, context repository, and evaluation harness to measure AI accuracy and enable rapid onboarding of data domains.

You will lead a team including a techno-functional architect, a data/AI engineer, a validation engineer, and a business analyst, and present progress to client sponsors weekly.

Qualifications

• Bachelor's degree in computer science, data science, information systems, or related field; or equivalent experience.
• 8+ years in data architecture or solutions architecture, including 3+ years designing AI/LLM solutions for production use.
• Hands-on experience with retrieval-augmented generation, context or prompt engineering, and LLM evaluation (ground-truth sets, automated grading, rubric).
• Experience designing ontologies, semantic layers, or knowledge graphs, and working with business glossaries and metadata catalogs.
• Strong SQL and data modeling skills; able to verify join paths, grain, and aggregation logic.
• Proficiency in Python for evaluation of runners, pipelines, and automation.
• Experience with agentic frameworks and orchestration, with human-in-the-loop review design.
• Working knowledge of data classification and governance for PII and regulated data.
• Clear communicator who can run weekly demos for senior sponsors and translate business questions into testable requirements.
• Preferred: life sciences/pharma data, Claude or enterprise LLM platforms, graph DBs, cloud certification, client credentials.

Responsibilities

• Define the Domain Context Model and minimum standards for data products.
• Design the domain ontology and map it to data products and the knowledge graph.
• Baseline metadata, definitions, and data classification to close gaps.
• Set up ontology ownership, review, and change processes to stay current.
• Architect the Business Context Repository in a client-approved environment and integrate with metadata catalogs and graph.
• Align access controls to dataset classification and deliver source code and runbooks to the client repository.
• Design the evaluation harness, including ground-truth QA sets, evaluation runner, and rubric-based scoring.
• Create failure-mode taxonomy and scoring rubric; use LLMs to generate and score answers, iterating to measure improvement.
• Report before/after accuracy by dataset and data product readiness; provide remediation.

Skills

SQL

Python

LLM evaluation

Ontology design

Knowledge graphs

Cloud

Education

Bachelor's degree in CS or related field

Tools

Neo4j

Claude / enterprise LLM platform

Retrieval-augmented generation tooling

Metadata registries

Job description

RADcube - A NLogix Company in Indianapolis seeks a Solutions Architect - AI to own the technical design of enterprise knowledge capture and AI delivery. The role shapes the domain context, context repository, and evaluation harness to measure AI accuracy and enable rapid onboarding of data domains.

You will lead a team including a techno-functional architect, a data/AI engineer, a validation engineer, and a business analyst, and present progress to client sponsors weekly.