GenAI Architect - Onsite Columbus | LLM & RAG Design

Pyramid, Inc; Columbus (OH); On-site; USD 83,000 - 85,000; Full time

Job summary

Pyramid Consulting, Inc. is seeking a GenAI Architect for a Columbus, OH onsite contract of 6+ months to lead end-to-end AI solution design and delivery. The role focuses on LLM-based agent design, RAG integration, and governance, with hands-on implementation responsibilities.

Ideal candidates bring 5+ years of experience in Agentic AI systems, strong Python skills, and familiarity with Azure AI Foundry/Services, data retrieval, and vector databases. Healthcare experience is a plus.

Qualifications

• 5+ years of experience architecting and implementing Agentic AI systems using LLMs, LangGraph, MCP, and RAG.
• Expertise in Python, data ingestion/retrieval, vector databases, and AI application development.
• Hands-on experience with Azure AI Foundry, Azure AI Services, or similar AI platforms.
• Deep understanding of observability, governance, reliability, workflow orchestration, and memory engineering.
• Healthcare industry experience is highly preferred.

Responsibilities

• Assess business processes, systems, and data landscapes to identify high-impact GenAI opportunities.
• Design and own end-to-end AI solution architecture, including LLM selection, agent design, RAG frameworks, integrations, security, governance, and evaluation methodologies.
• Lead hands-on implementation efforts and establish engineering and prompt-engineering best practices.
• Collaborate with business, IT, security, and engineering teams to align objectives and manage delivery risks.
• Drive successful deployment, adoption, and measurement of business outcomes through AI solutions.

Skills

GenAI architect experience

Python

Data ingestion

Vector databases

Azure AI Foundry/Services

Observability/governance

Tools

LangGraph

MCP

RAG frameworks

Job description

Pyramid Consulting, Inc. is seeking a GenAI Architect for a Columbus, OH onsite contract of 6+ months to lead end-to-end AI solution design and delivery. The role focuses on LLM-based agent design, RAG integration, and governance, with hands-on implementation responsibilities.

Ideal candidates bring 5+ years of experience in Agentic AI systems, strong Python skills, and familiarity with Azure AI Foundry/Services, data retrieval, and vector databases. Healthcare experience is a plus.