AI Systems Architect - Digital Workforce

Marco Technologies•REMOTE, OH

9d•$151,504 - $249,982•Remote

About The Position

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.

Requirements

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
Deep hands-on experience with Azure AI Foundry
Deep hands-on experience with Microsoft Fabric
Deep hands-on experience with Azure OpenAI
Deep hands-on experience with Azure AI Services
Deep hands-on experience with Copilot ecosystem and extensibility
Deep hands-on experience with Azure-native AI architecture patterns
Deep hands-on experience with Data grounding and enterprise AI architectures
Deep hands-on experience with Building AI pipelines and workflows across Microsoft AI services
Deep hands-on experience with AI deployment, governance, and operational best practices
Experience designing Multi-agent systems
Experience designing Agent orchestration frameworks
Experience designing Retrieval Augmented Generation (RAG)
Experience designing Context engineering and prompt orchestration
Experience designing Agent memory and workflow design patterns
Experience designing AI observability and governance
Experience designing Intelligent workflow systems and agent-based architectures
Deep expertise with REST APIs and API-first architectures
Deep expertise with System-to-system interfaces and enterprise integrations
Deep expertise with Event-driven architectures
Deep expertise with SDK and connector development
Deep expertise with Middleware and integration frameworks
Deep expertise with Authentication systems including OAuth, SAML, and identity platforms
Deep expertise with Distributed systems and microservices
Deep expertise with Enterprise integration patterns
Deep expertise with Model Context Protocol (MCP)
Deep expertise with Agent communication standards and interoperability frameworks
Hands-on experience with Python
Hands-on experience with C#
Hands-on experience with JavaScript / TypeScript
Hands-on experience with Software engineering fundamentals and application architecture
Hands-on experience with Git and CI/CD workflows
Hands-on experience with Cloud-native application architecture
Hands-on experience with Building production-grade APIs and services
Hands-on experience with Modern development and deployment practices

Responsibilities

Architect and deliver AI-powered Digital Employees and intelligent workflow systems
Architect and deliver Enterprise AI platforms leveraging large language models and agent-based architectures
Architect and deliver Multi-agent systems capable of coordinating business processes and workflows
Architect and deliver AI pipelines powered by Azure AI Foundry, Microsoft Fabric, and Azure AI services
Architect and deliver Deep system-to-system integrations across SaaS, cloud, data, and business platforms
Architect and deliver Secure APIs and communication layers enabling AI interoperability
Architect and deliver Retrieval, orchestration, and context-sharing frameworks
Architect and deliver Scalable AI products and managed service offerings
Architect and deliver Foundational architecture enabling Marco’s AI Digital Workforce ecosystem
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