GenAI Solution Architect – Azure OpenAI, RAG & Knowledge Graphs

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.

Responsibilities:

• 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 projects 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.

• 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

• Health Benefits
• Referral Program
• Excellent growth and advancement opportunities