Enterprise Architect

Position Summary We are looking to add to our dynamic team the critical role of Enterprise AI Architect to help turn AI ideas into secure, scalable, production-ready business solutions. This high-visibility role will define the architecture, patterns, and guardrails that help the company adopt AI responsibly and at scale. The ideal candidate is a hands-on solution architect who can translate business needs into practical AI solutions, design agentic and multi-agent architectures, and partner across business, IT, data, cybersecurity, and operations teams. This is a builder role for someone excited to create the enterprise AI playbook in a global manufacturing and technology environment. Why This Role Is Exciting Help define how enterprise AI is built, governed, and scaled. Work on high-value AI use cases that improve real business processes. Shape the company's approach to agents, copilots, AI governance, and responsible adoption. Turn experimentation into measurable enterprise impact. Key Responsibilities AI Strategy & Solution Architecture Define the enterprise AI architecture roadmap, from early use cases to production-ready solutions. Create reusable standards, solution patterns, and best practices for scalable AI delivery. Lead architecture for generative AI, copilots, AI agents, RAG, machine learning, and intelligent workflows. Design agentic and multi-agent solutions with clear controls, escalation paths, and human-in-the-loop checkpoints. Azure AI Platform Leadership Architect solutions using Azure AI Foundry, Azure OpenAI, Azure Machine Learning, Microsoft Fabric, Copilot Studio, Power Platform, and related Microsoft AI services. Define when to use copilots, agents, RAG, automation, custom APIs, or third-party AI tools. Evaluate and integrate AI capabilities from outside the Azure ecosystem, including platforms and models from providers such as OpenAI, Anthropic, Google, and others. Design hybrid AI patterns for manufacturing and operational environments that cannot be fully cloud-native. Enterprise Data & Systems Integration Ground AI solutions in trusted enterprise data, including ERP, SQL Server applications, and manufacturing/OT systems. Define secure data pipelines, APIs, connectors, and integration patterns using standards such as MCP and A2A where appropriate. Cross-Functional Collaboration Partner with business leaders, cybersecurity, infrastructure, data, and development teams to deliver secure, scalable AI solutions. Prioritize AI opportunities based on business value, feasibility, risk, and adoption potential. Agile Delivery Leadership #J-18808-Ljbffr