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# GenAI Solution Architect Azure OpenAI, RAG & Knowledge Graphs

- **Company:** ICONMA LLC
- **Location:** Washington, DC, United States
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Application Integration Architecture, Application Performance Management, Microsoft Azure, BigQuery, Code Generation, Graph Database, Python (Programming Language), Link Analysis, Meta-Data Management, Role-Based Access Control, Power BI, OpenAI, Azure Active Directory, Enterprise Data Management, Digital Twin, Data Processing, Google Cloud, GitHub Copilot, Ontology Design, Retrieval-Augmented Generation, Large Language Models, Claude Code, Agentic-AI, Data Layers, Microsoft Fabric, AI Platforms, Information Technology, Claude, Google Gemini, Semantic Modeling, Model Context Protocol, Api Management
- **Published:** November 5, 2026
- **Apply:** https://www.thejobnetwork.com/job/26a3b813-f5b1-45fc-821c-822cc9dd44af/genai-solution-architect-azure-openai-rag-knowledge-graphs

## About the Role

* 3+ years delivering data, analytics, or AI solutions.
 * 2+ years working with large language models, AI assistants, or agent-based systems.
 * Experience translating business processes into functional and technical specifications.
 * Demonstrated ability to work with researchers, economists, analysts, or other subject matter experts.
 * Strong facilitation and stakeholder engagement skills.
 * Python, with the ability to review and validate data-processing and AI-integration code.
 * Azure OpenAI and Retrieval-Augmented Generation (RAG) architectures, including grounding, retrieval strategies, and Model Context Protocol (MCP).
 * Azure AI Foundry evaluation capabilities and model assessment practices.
 * GitHub Copilot, agent specifications, instruction libraries, and AI-assisted development practices.
 * Claude Code and Claude Skills, including authoring and governance of instructions, skills, and behavioral guardrails.
 * Microsoft Fabric, OneLake, and Power BI, including architectural decision-making for enterprise data platforms.
 * Knowledge graph technologies, semantic modeling, ontology design, metadata management, and graph-based retrieval patterns.
 * Microsoft Entra ID and role-based access control.
 * Microsoft Purview or equivalent solutions for cataloging, lineage, governance, and auditability.
 * Azure API Management and Azure Monitor/Application Insights.
 * Responsible AI frameworks, content safety controls, and red-team testing practices.
 * Experience designing enterprise knowledge graphs and semantic layers for search, discovery, recommendation, and AI grounding.
 * Experience with Google Cloud AI services, including Vertex AI, Gemini, Agent Development Kit (ADK), and BigQuery, demonstrating cross-platform understanding of enterprise AI architectures
 * Years of Experience: 10.00 Years of Experience

## Description

Our client, an IT Services and Consulting company, is looking for a GenAI Solution Architect - Azure OpenAI, RAG & Knowledge Graphs for their Washington, DC location., * Translate how IMF economists work into a practical solution design and ensure the Cognitive Digital Twin produces results that are transparent, traceable, and defensible.

 * Work directly with SPR economists to understand how survey analysis is performed today and identify which activities can be automated, which require analyst review, and where AI can assist decision-making.
 * Document business requirements, user journeys, and solution specifications that guide engineering and AI development teams.
 * Define and maintain role-based prompts, agent instructions, and approved interaction patterns.
 * Establish and enforce evidence standards so every output can be traced back to its source survey, reporting period, methodology, and underlying calculations.
 * Lead the design of the project's knowledge graph and semantic model, ensuring relationships between surveys, indicators, countries, methodologies, institutions, and analytical concepts are consistently represented and reusable across agents.
 * Define business use cases for graph-based reasoning, including cross-country comparisons, indicator lineage, concept discovery, policy-link analysis, and expert knowledge retrieval.
 * Own business validation criteria, benchmark scenarios, and "golden questions" used to determine whether the solution is ready to progress beyond prototyping.
 * Govern the lifecycle of agent assets, including instructions, skills, knowledge sources, evaluation criteria, and governance controls.
 * Review AI-generated code, configurations, and solution artifacts as the accountable business and architecture reviewer.
 * Prepare architecture, security, governance, and review materials for EARB and other approval bodies.
 * Partner with data architects and engineers to ensure the knowledge graph, retrieval mechanisms, and analytical models align with business expectations and governance requirements.