GenAI Solution Architect - Azure OpenAI, RAG & Knowledge Graphs

Summary by AIEngineer.careers

GenAI Solution Architect - Azure OpenAI, RAG & Knowledge Graphs is a AI Solutions Architect role (contract). with ICONMA, LLC. in WASHINGTON, US. Compensation shown: $38K–$127K (est.). Imported listing (source: snagajob.com). Apply on the employer's site (snagajob.com).

Imported listing (source: snagajob.com) · Apply on snagajob.com

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WASHINGTON · US

$38K–$127K (est.)

Contract

SENIOR

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Imported job description

Sourced from snagajob.com

Design generative AI solutions for IMF economists, including knowledge graph development, retrieval-augmented generation architectures, and governance of agent-based systems. The role combines solution architecture with hands-on work on Azure OpenAI-based GenAI platforms.

Responsibilities

Design RAG architectures and knowledge graph solutions for economist-facing GenAI tools
Build and govern agent-based systems on Azure OpenAI
Translate business requirements into scalable GenAI solution designs
Ensure governance, quality, and reliability of deployed AI systems

Requirements

Experience architecting GenAI solutions with Azure OpenAI
Hands-on knowledge of RAG architectures
Experience with knowledge graphs
Understanding of agent-based system design and governance

Nice to Have

Experience in public sector or financial institution environments
Familiarity with LLM evaluation and safety practices

Tech Stack

Agentic SystemsAzure OpenAIKnowledge GraphsLLMRAG

ICONMA, LLC

City of Troy · US · 1303+ employees

ICONMA, LLC is a woman-owned staffing and technology-consulting firm founded in 2000. It provides workforce talent and digital solutions to organizations ranging from startups to Fortune 500 companies, with a global footprint of more than 15 locations.