Solutions Architect - AI

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

Job summary

RADcube, an Indianapolis-based technology consulting and software firm, is seeking a Solutions Architect - AI to lead end-to-end architecture across domain and business context models, ontologies, and AI evaluation frameworks in support of enterprise AI initiatives.

The role requires 10+ years in enterprise data and AI solution architecture, deep expertise in Python, SQL, LLMs, RAG, and cloud architecture, and the ability to guide engineering and validation teams through complex architecture

Qualifications

• 10+ years of enterprise data and AI solution architecture experience.
• Proficiency in Python, SQL, LLMs, RAG, and context engineering.
• Experience with ontologies, semantic modeling, and knowledge graphs.
• Ability to design agentic workflows and AI evaluation approaches.
• Strong data governance and cloud architecture skills.

Responsibilities

• Design end-to-end architecture for Domain Context Model, Business Context Repository, ontology, and AI evaluation framework.
• Define connections between business context, data products, metadata, semantic layers and client Graph capabilities for AI queries.
• Architect the Business Context Repository and integrate with Context Injection and enterprise platforms.
• Set technical standards for domain modeling, data classification, access controls, security, scalability, and maintainability.
• Design AI evaluation approach including ground truth datasets, accuracy measurement, failure classification, and context testing.
• Define agentic workflows and orchestration patterns for automated context capture, enrichment, validation, and refresh with human oversight.
• Provide technical direction to engineering, validation, business analysis, and techno-functional architecture teams.
• Lead solution reviews, resolve architectural issues, support client demos, and oversee documentation and knowledge transfer.

Skills

Python

SQL

LLMs

RAG

Context engineering

Ontologies

Semantic modeling

Knowledge graphs

Agentic workflows

AI evaluation

Data governance

Cloud architecture

Enterprise data architecture

AI solution architecture

Job description

Indianapolis, United States | Posted on 11/10/2026

• Certifications Cloud certification (AWS, Azure, or GCP)
• Years of Experience 10+
• City Indianapolis
• State/Province Indiana
• Country United States

About Us

Founded in 2015, RADcube is a leading technology consulting and software development firm headquartered in Carmel, Indiana. The company specializes in transforming enterprise ideas into real-world innovations by leveraging emerging technologies such as Artificial Intelligence, Blockchain, and Cloud Computing.

With nearly a decade of industry experience, RADcube serves diverse sectors, including healthcare, finance, government, and manufacturing.

Their core service portfolio includes:

• Digital Transformation and strategy consulting.
• Custom Software Development tailored to specific business needs.
• Advanced Data Analytics and AI-driven platforms.
• Cybersecurity and risk management.

Recognized for its innovation-led culture, RADcube operates RADlabs, an R&D hub focused on high-impact solutions like Responsible AI and Intelligent Automation. The firm is committed to a human-centric approach, ensuring cutting-edge technology delivers measurable business outcomes and long-term success for global clients.

The company’s commitment to innovation has earned significant industry honors:

• 2026 TechPoint Mira Awards Finalist: Named a finalist for Tech Company of the Year, recognizing high-growth pioneers that demonstrate extraordinary leadership.
• Public Sector Excellence: Awarded the Utah NASPO Cloud & Software Solutions Contract, solidifying their role as a trusted partner for large-scale government digital initiatives and more.

Job Description

Solutions Architect - AI

Location:Indianapolis, IN

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.