Lead Azure AI Solution Architect

Job Overview

Lead Azure AI Solution Architect – IT Corporate Analytics & Automation, Remote (Dallas, TX). Full‑time role that designs and delivers AI solutions on Microsoft Azure and the Microsoft AI platform.

• Lead AI solution architecture and 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, using Azure OpenAI, Azure AI Search, Azure AI Foundry, App Service, Functions, Logic Apps, Cosmos DB, and related services.
• Partner with security to align solutions with approved standards.
• Define implementation patterns and 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 to validate feasibility, demonstrate patterns, de‑risk delivery, and create examples for production deployment.
• Translate business objectives into AI architectures, feasibility assessments, and solution‑fit recommendations; present recommendations to senior leadership in business‑relevant language.
• Evaluate AI tooling, assessing AI frameworks, agent libraries, and integration tooling for functional fit, technical capability, and enterprise suitability.
• 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, support technical interviews, calibrate hiring decisions, and help grow the AI engineering function.
• Maintain technical currency by tracking Azure AI and generative/agentic AI advances and applying emerging capabilities when they deliver business value.
• Establish LLMOps practices and define approaches for prompt/version management, RAG quality testing, model and prompt evaluation, telemetry, feedback loops, and deployment governance.
• 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, including 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.
• 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 Framework and .NET agent orchestration.
• Experience implementing MCP or Agentic RAG in production.
• Experience fine‑tuning and deploying AI models.
• Working knowledge of Python for AI/ML prototyping.
• Experience with Bicep or infrastructure‑as‑code.
• Experience partnering with security and architecture teams in regulated or critical‑infrastructure environments.

Join the IT Corporate Analytics & Automation team, which leads Primoris’s enterprise AI strategy. As the Lead Azure AI Solution Architect, you’ll work with engineering, business stakeholders, security, architecture, and executive leadership to deliver measurable AI value through well‑architected, compliant solutions.

• 401(k) with employer match
• Health, dental, and vision insurance
• Paid time off and 10 paid holidays
• Employee stock purchase plan
• Remote work flexibility

We are an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.