AI Solutions Architect

Role overview

The AI Solutions Architect will join Qcells North America’s Grid & Energy Services team to architect and scale an agentic AI foundation for intelligent energy products. The platform will enable development teams to build, deploy, and govern production-grade AI agents across energy management, DER, VPP, solar, and data center solutions, centered on Microsoft Azure AI Foundry.

Responsibilities

• Architect and build the organization’s agentic AI framework on Microsoft Azure AI Foundry, including:
  • Reference architecture
  • Reusable SDKs
  • Templates
  • Shared services for rapid AI application development and deployment
• Define agent development patterns and capabilities, including:
  • Tool integration and function calling
  • Retrieval-Augmented Generation (RAG)
  • Memory and planning workflows
  • Multi-agent orchestration
  • Human-in-the-loop interactions
• Own foundational platform services for all AI agents:
  • Model routing
  • Prompt and policy management
  • Observability, tracing, and evaluation frameworks
  • Content safety
  • Cost optimization
• Evaluate and integrate Azure AI Foundry services such as:
  • Foundry Agent Service
  • AI Search
  • Prompt Flow
  • AutoGen
• Lead technical adoption by partnering with engineering and application teams, including agent design reviews and integration problem solving.
• Create and maintain reference architectures, golden-path templates, and engineering standards for production readiness (grounding, evaluation, guardrails, reliability, safe autonomy).
• Drive responsible AI and governance, including:
  • Testing strategies and monitoring
  • Red-team exercises
  • Operational controls and rollback mechanisms
• Produce technical documentation, architecture diagrams, enablement materials, and mentor engineers on agentic AI principles and best practices.

Required qualifications

• 8+ years in software architecture, platform engineering, or senior technical leadership with recent hands-on experience building and deploying production AI/agentic systems.
• Enterprise-scale expertise on Microsoft Azure (compute, networking, identity, security, data platforms, and cost optimization).
• Strong cloud-native architecture fundamentals: microservices, event-driven systems, API-first development.
• Experience with Infrastructure as Code using Bicep/Terraform and CI/CD pipelines.
• Hands-on experience with Azure AI Foundry and related capabilities, including Azure OpenAI, Foundry Agent Service, AI Search, Prompt Flow, evaluation frameworks, and content safety.

Location / work arrangement

• Remote, with an expectation to relocate at their own expense to the company’s Houston onsite location by Q1 2027 (approximate and may change).