Lead Azure AI Solution Architect

Lead Azure AI Solution Architect

Department: IT Corporate Analytics & Automation
Location: Remote (Dallas, TX)
Type: Full-Time

We’re seeking a Lead Azure AI Solution Architect to design and deliver enterprise AI solutions on Microsoft Azure and the Microsoft AI platform. This senior, hands‑on role translates business objectives into well‑architected AI capabilities, defines implementation patterns, leads PoCs and reference implementations, and guides engineering teams.

• Lead AI solution architecture. Design architectures for generative and agentic AI initiatives, including RAG patterns, multi‑agent systems, and AI‑enabled business applications. Produce reusable patterns for engineering teams.
• Architect AI workloads on Azure. Design solutions using Azure OpenAI, Azure AI Search, Azure AI Foundry, App Service, Functions, Logic Apps, Cosmos DB, and supporting services. Partner with security to align solutions with approved standards.
• Define implementation patterns. Establish design standards and quality bars for AI implementations using SOLID principles, Clean Architecture, appropriate Gang of Four patterns, and cloud‑native practices. Conduct architecture reviews and author ADRs.
• Build capability‑focused PoCs. Prototype AI capabilities to validate feasibility, demonstrate patterns, de‑risk delivery, and create examples engineers can extend into production.
• Partner with stakeholders. Translate business objectives into AI architectures, feasibility assessments, and solution‑fit recommendations. Present recommendations to senior leadership in business‑relevant language.
• Evaluate AI tooling. Assess AI frameworks, agent libraries, and integration tooling for functional fit, technical capability, and enterprise suitability.
• Guide Engineering implementation. Provide direction on C#/.NET architecture, frontend patterns (Blazor, React), API design, and data architecture across SQL Server, Cosmos DB, and vector stores.
• Mentor engineering talent. Mentor engineers, support technical interviews, calibrate hiring decisions, and help grow the AI engineering function.
• Maintain technical currency. Track Azure AI and generative/agentic AI advances, including Model Context Protocol, agentic RAG, and fine‑tuning. Apply emerging capabilities when they deliver business value.
• Establish LLMOps practices. Define approaches for prompt/version management, RAG quality testing, model and prompt evaluation, telemetry, feedback loops, and deployment governance.
• Support production readiness. Guide AI solutions from PoC to production by addressing observability, evaluation, latency, cost, resiliency, monitoring, and supportability.

• Bachelor’s degree in computer science, Information Technology, or a related field.
• 10+ years of progressive software engineering experience, with at least 5 years in a solution architecture capacity. Demonstrated experience designing and delivering cloud‑based solutions.
• Microsoft Certified:
  Azure AI Engineer Associate (AI‑102)
• Hands‑on Azure solution design experience with Azure OpenAI, Azure AI Search, Azure AI Foundry, App Service, Functions, Logic Apps, Cosmos DB, and Entra .
• Experience designing generative and agentic AI patterns, including RAG, prompt engineering, multi‑agent systems, orchestration, and tool/function calling.
• Strong C#/.NET architecture background with working knowledge of Blazor or React.
• Strong data architecture skills across SQL Server, Cosmos DB, MongoDB, and vector stores for AI workloads.
• Proficiency with Azure Dev Ops, YAML pipelines, and modern CI/CD practices.
• Strong executive communication skills, with a track record of presenting technical recommendations to senior leadership and translating between business and engineering audiences.
• Demonstrated ability to mentor engineers and influence technical direction across cross‑functional teams.
• Strong understanding of SOLID principles, Clean Architecture, design patterns, API design, and cloud‑native application design.

• Master’s degree in computer science or a related field.
• Microsoft Certified:
  Azure Developer Associate (AZ‑204).
• Experience with Microsoft Agent…