Remote AI Solutions Architect - Enterprise GenAI & Cloud

IRIS Software, Inc.

United States

Remote

USD 140,000 - 210,000

Full time

6 days ago
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Job summary

IRIS Software, Inc. is seeking an AI Solution Architect for a remote role.

The candidate will lead end-to-end engineering with Agile DevOps, modernize across cloud-native platforms (Azure) and frontend/backend stacks, and collaborate with architecture and product teams to deliver scalable AI solutions. Ideal candidates bring 8+ years of experience, familiarity with Microsoft agent ecosystems, and a strong grasp of responsible AI governance, RBAC, and observability.

Qualifications

  • Bachelor's degree required.
  • Minimum 8 years' experience.
  • Experience with Microsoft agent ecosystem concepts (single-agent and multi-agent patterns, orchestration, tool integration, observability, governance).
  • Familiarity with enterprise agent platform components (control plane, guardrails, RBAC, audit logging, model routing).
  • Exposure to internal AI governance guidance and responsible agent development best practices.

Responsibilities

  • Lead delivery using Agile DevOps: own end-to-end engineering lifecycle from planning to support.
  • Build and modernize across full-stack and cloud-native platforms including Azure and modern web stacks.
  • Partner with architects and product to shape scalable solutions.
  • Design and deliver enterprise AI solutions, leading POCs, pilots and production deployments.
  • Stay current on GenAI patterns and ensure responsible AI with governance and privacy considerations.

Skills

Agile DevOps
Cloud-native development
Full-stack development
AI/GenAI familiarity
Enterprise solution design

Education

Bachelor's degree

Tools

Azure (IaaS/PaaS)
React/Angular
Python
Node.js
APIs

Job description

IRIS Software, Inc. is seeking an AI Solution Architect for a remote role.

The candidate will lead end-to-end engineering with Agile DevOps, modernize across cloud-native platforms (Azure) and frontend/backend stacks, and collaborate with architecture and product teams to deliver scalable AI solutions. Ideal candidates bring 8+ years of experience, familiarity with Microsoft agent ecosystems, and a strong grasp of responsible AI governance, RBAC, and observability.

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