Senior Enterprise AI Architect - Agentic AI & Cloud-Native

System Soft Technologies; New York (NY); On-site; USD 180,000 - 260,000; Full time

Job summary

System Soft Technologies seeks a Senior Enterprise Application Architect to lead Agentic AI and enterprise integration architecture across Azure, AWS, and hybrid environments. You will design reusable patterns, establish architecture standards, and support an Architecture COE with strong governance and collaboration with senior stakeholders.

The role focuses on LLM-enabled applications, multi-agent orchestration, RAG, API-led integration, and secure, scalable enterprise solutions.

Qualifications

• 10+ years of experience in application/enterprise architecture.
• Experience delivering AI, LLM-based, or Agentic AI solutions in enterprise environments.
• Strong understanding of multi-agent orchestration, RAG, tool calling, and AI integration patterns.
• Experience establishing, supporting, or operating an Architecture COE or governance function.
• Familiarity with MCP, event-driven patterns, and secure integration.

Responsibilities

• Design enterprise reference architectures for Agentic AI and LLM-based solutions.
• Architect multi-agent systems including orchestration, tool calling, and workflows.
• Define RAG patterns to integrate enterprise data with AI apps.
• Establish secure integration patterns between AI agents, apps, APIs, and external services.
• Lead architecture reviews and governance forums; mentor teams on standards.
• Guide modernization and cloud transformation initiatives across Azure, AWS, and hybrid environments.

Skills

Leadership

Strategic thinking

Communication

Problem-solving

Executive stakeholder management

Tools

Azure

AWS

Cloud-native

API design

Job description

System Soft Technologies seeks a Senior Enterprise Application Architect to lead Agentic AI and enterprise integration architecture across Azure, AWS, and hybrid environments. You will design reusable patterns, establish architecture standards, and support an Architecture COE with strong governance and collaboration with senior stakeholders.

The role focuses on LLM-enabled applications, multi-agent orchestration, RAG, API-led integration, and secure, scalable enterprise solutions.