AI Systems Architect - Digital Workforce

Marco Technologies
United States
3 months ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
8 years minimum
Compensation
$151,504.0 - $249,982.0
Working hours
Regular working hours
Job source

Tech stack

JavaScript (Programming Language) Application Programming Interfaces (APIs) Artificial Intelligence Applications Architecture Computing Platforms Automated Storage and Retrieval Systems Microsoft Azure Business Software C Sharp (Programming Language) Software as a Service Cloud Computing Cloud Engineering
+33 more
Continuous Integration Distributed Systems Middleware Identity and Access Management Interoperability Python (Programming Language) OAuth Azure Machine Learning Security Assertion Markup Language (SAML) Service-Oriented Architecture Software Deployment Software Engineering Systems Integration TypeScript Web Services Workflow Management Systems Enterprise Application Integration Enterprise Software Applications Large Language Models Multi-Agent Systems IT Architecture Generative AI Git Event Driven Architecture Microsoft Fabric AI Platforms Kubernetes Enterprise Integration Integration Frameworks Machine Learning Operations Api Design Restful APIs Microservices

Job description

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, o Intelligent workflow systems and agent-based architectures
  • Platform Engineering & System Integration
  • Deep expertise with: o REST APIs and API-first architectures o System-to-system interfaces and enterprise integrations o Event-driven architectures o SDK and connector development o Middleware and integration frameworks o Authentication systems including OAuth, SAML, and identity platforms o Distributed systems and microservices o Enterprise integration patterns o Model Context Protocol (MCP) o Agent communication standards and interoperability frameworks

  • Development & Platform Engineering
  • Hands-on experience with: o Python o C# o JavaScript / TypeScript o Software engineering fundamentals and application architecture o Git and CI/CD workflows o Cloud-native application architecture o Building production-grade APIs and services o Modern development and deployment practices

Requirements

Do you have experience in Web services design?, + 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: o Azure AI Foundry o Microsoft Fabric o Azure OpenAI o Azure AI Services o Copilot ecosystem and extensibility o Azure-native AI architecture patterns o Data grounding and enterprise AI architectures o Building AI pipelines and workflows across Microsoft AI services o AI deployment, governance, and operational best practices

  • AI Systems & Agent Architecture
  • Experience designing: o Multi-agent systems o Agent orchestration frameworks o Retrieval Augmented Generation (RAG) o Context engineering and prompt orchestration o Agent memory and workflow design patterns

Benefits & conditions

3.13.1 out of 5 stars Remote $151,504 - $249,982 a year

About the company

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.

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