AI Solutions - AI Platform Architect

Build the systems powering the next generation of AI workers. At Marco, we believe AI is bigger than chatbots and copilots. We’re building AI-powered Digital Employees—intelligent systems that automate work, interact across business platforms, orchestrate workflows, and become part of the modern workforce. We’re looking for an experienced AI Systems Architect to help design and build the platform foundations that make this possible. This role sits at the intersection of AI architecture, software engineering, platform design, and emerging technology strategy. You’ll work directly with modern AI ecosystems including Azure AI Foundry, Microsoft Fabric, Azure OpenAI, multi-agent systems, APIs, orchestration technologies, and enterprise integration platforms to create scalable AI solutions that solve meaningful business challenges. This is a role for someone who enjoys building systems—not simply configuring products. What You'll Build You'll architect and deliver: AI - powered Digital Employees and intelligent workflow systems Enterprise AI platforms leveraging large language models and agent-based architectures Multi-agent systems capable of coordinating business processes and workflows AI pipelines powered by Azure AI Foundry, Microsoft Fabric, and Azure AI services Deep system-to-system integrations across SaaS, cloud, data, and business platforms Secure APIs and communication layers enabling AI interoperability Retrieval, orchestration, and context-sharing frameworks Scalable AI products and managed service offerings Foundational architecture enabling Marco’s AI Digital Workforce ecosystem What You'll Do Architect intelligent systems and AI platforms Design end-to-end AI architectures across cloud, hybrid, and enterprise environments Build proof-of-concepts and production-ready AI solutions leveraging generative AI ecosystems Define reusable architecture patterns, standards, and technical frameworks Create scalable designs for AI agents, orchestration workflows, retrieval systems, and enterprise integrations Balance innovation, scalability, supportability, and operational excellence Evaluate emerging technologies and rapidly determine practical business applications Lead AI platform and integration strategy Design interfaces between AI systems and enterprise applications using APIs, service architectures, and event-driven systems Architect modern system-to-system integrations across Microsoft, SaaS, cloud, and line-of-business platforms Establish standards for AI interoperability and orchestration Develop patterns for context sharing, workflow coordination, and AI communication Help define Marco’s approach to emerging standards including Model Context Protocol (MCP), agent interoperability, and modern AI communication frameworks Develop scalable architectural approaches for AI-to-system connectivity Help shape the future of AI Digital Employees Lead development of AI and Digital Employee offerings from concept through market launch Collaborate closely with engineering, innovation, security, sales, and operations teams Participate directly in customer workshops, pilots, and technical strategy discussions Translate highly technical concepts into practical business outcomes Mentor internal teams on AI architecture and emerging technologies Influence long-term AI strategy and technical direction What We're Looking For Experience 8+ years of experience in architecture, software engineering, platform development, or advanced technical leadership roles Proven experience designing and delivering enterprise-grade systems and complex technology solutions Hands-on experience with AI, generative AI, LLMs, machine learning systems, or intelligent automation platforms Experience bringing concepts from proof-of-concept through production deployment Demonstrated experience designing and implementing solutions using Azure AI Foundry and Microsoft Fabric within enterprise environments Core Technical Expertise Deep hands-on experience with: Azure AI Foundry Microsoft Fabric Azure OpenAI Azure AI Services Copilot ecosystem and extensibility Azure-native AI architecture patterns Data grounding and enterprise AI architectures Building AI pipelines and workflows across Microsoft AI services AI deployment, governance, and operational best practices AI Systems & Agent Architecture Experience designing: Multi-agent systems Agent orchestration frameworks Retrieval Augmented Generation (RAG) Context engineering and prompt orchestration Agent memory and workflow design patterns AI observability and governance Intelligent workflow systems and agent-based architectures Platform Engineering & System Integration Deep expertise with: REST APIs and API-first architectures System-to-system interfaces and enterprise integrations Event-driven architectures SDK and connector development Middleware and integration frameworks Authentication systems including OAuth, SAML, and identity platforms Distributed systems and microservices Enterprise integration patterns Model Context Protocol (MCP) Agent communication standards and interoperability frameworks Development & Platform Engineering Hands-on experience with: Python C# JavaScript / TypeScript Software engineering fundamentals and application architecture Git and CI/CD workflows Cloud-native application architecture Building production-grade APIs and services Modern development and deployment practices Pay Range: $151,504 - $249,982 annually + 10% incentive opportunity The pay range listed for this position is based on candidate's skill level, experience, relevant licenses, and educational background. For detailed information about our benefits, please visit our careers page at www.marconet.com/careers . Location: This is a remote-eligible position, however, Marco Technologies requires employees to reside within one of the following states: DE, FL, IA, IL, IN, KY, MD, MI, MN, MO, ME, NE, ND, NJ, PA, RI, SD, TX, WI