AI Solution Architect

IRIS Software, Inc.; United States; Remote; USD 140,000 - 210,000; Full time

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 client, one of their Auditing Client is looking to hire AI Solution Architect for Remote.

Job Title: AI Solution Architect

Location: Remote

Responsibilities:

• Lead delivery using Agile DevOps: Own the end to end engineering lifecycle---planning, development, testing, release, and support---using Agile/Scrum and DevOps best practices
• Build and modernize across full-stack and cloud-native platforms: Quickly ramp up on existing systems and contribute across diverse technology stacks, including Azure (IaaS/PaaS), cloud-native services, and modern application layers—React/Angular, backend services (Python/Node.js/Java), and integrated data stores and APIs
• Partner with architecture and product to shape solutions: Collaborate with architects and product leaders to evaluate emerging technologies and translate them into scalable solution designs
• Design and deliver enterprise AI solutions: Architect and implement AI/GenAI solutions that solve complex business problems—leading POCs, pilots, and production deployments
• Stay current and build responsibly: Track evolving GenAI/Agentic AI patterns and industry trends. Ensure solutions reflect enterprise expectations for responsible AI, including safety, privacy, fairness, explainability, and seamless integration with existing organizational systems

Required Skills:

• Bachelor's degree
• 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) consistent with internal platform thinking.
• Exposure to internal AI governance guidance and responsible agent development best practices

Thanks & Regards

Sunil Kamboj

Sr. Executive - TA

Iris Software