AI Solutions Architect

As an AI Solutions Architect, you will design and scale the foundational framework for how AI agents are authored, orchestrated, evaluated, governed, and operated across the organization, with Microsoft Azure AI Foundry at the center of the stack. Architect and build the company’s agentic AI framework on Microsoft Azure AI Foundry, including the reference architecture, reusable SDKs, templates, and shared services that enable teams to rapidly develop and deploy AI-driven applications.Define the core patterns and capabilities for agent development, including tool integration, function calling, retrieval-augmented generation (RAG), memory, planning workflows, multi-agent orchestration, and human-in-the-loop interactions.Own the foundational platform services shared across all AI agents, including model routing, prompt and policy management, observability, tracing, evaluation frameworks, content safety, and cost optimization.Evaluate and integrate Azure AI Foundry services and supporting tech such as Foundry Agent Service, AI Search, Prompt Flow, and AutoGen into a scalable AI platform.Partner closely with engineering and application teams to guide agent design reviews, solve complex integration challenges, and drive adoption across the organization.Create and maintain reference architectures, golden-path templates, and engineering standards for production-grade AI agents with a focus on grounding, evaluation, guardrails, reliability, and safe autonomy.Drive responsible AI and governance standards across the platform, including testing strategies, monitoring, red-team exercises, operational controls, and rollback mechanisms for agent behavior and model performance.Develop technical documentation, architecture diagrams, and internal enablement materials while mentoring engineers on agentic AI principles, platform standards, and applied AI engineering best practices.REQUIRED QUALIFICATIONS 8+ years of experience in software architecture, platform engineering, or senior technical leadership roles, including recent hands-on experience building and deploying production AI or agentic systems.Expertise designing and operating enterprise-scale solutions on microsoft azure, including compute, networking, identity mgmt, security, data platforms and cost optimization. Strong understanding of modern cloud-native architecture patterns including microservices, event-driven systems, API-first development, infrastructure as code (Bicep/Terraform), CI/CD pipelines, and Azure Well-Architected Framework principles.Hands-on experience with Microsoft Azure AI Foundry and related technologies including Azure OpenAI, Foundry Agent Service, AI Search, Prompt Flow, evaluation frameworks, and content safety capabilities.Proven experience designing and implementing agentic AI architectures including multi-agent orchestration, retrieval-augmented generation (RAG), tool and function calling, memory management, planning, and human-in-the-loop workflows.Familiarity with modern AI orchestration frameworks and protocols such as Semantic Kernel, AutoGen, LangGraph, and Model Context Protocol (MCP), including an understanding of where and how each is best applied.Experience building developer platforms, reusable frameworks, SDKs, or internal enablement tooling with a strong focus on scalability, usability, and developer adoption.Strong communication and collaboration skills with the ability to explain complex technical concepts to engineering teams, leadership, and cross-functional stakeholders, while promoting responsible AI practices including governance, observability, evaluations, and operational safeguards.PREFERRED QUALIFICATIONS Hanwha Q CELLS is a flagship company of Hanwha Group, a FORTUNE Global 500 firm and a Top 7 business enterprise in South Korea.