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# GenAI Solution Architect

- **Company:** IRIS SOFTWARE
- **Location:** Chicago, IL, United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing, Program Optimization, Data Architecture, Data Integration, Performance Tuning, Cloud Services, Tensorflow, Azure Machine Learning, Software Engineering, Large Language Models, Multi-Agent Systems, Prompt Engineering, IT Architecture, Generative AI, Machine Learning Operations, Virtual Agents, GPT, Data Pipelines
- **Published:** July 17, 2026
- **Apply:** https://www.dice.com/job-detail/87a9b271-329c-49bd-b112-526e222ab131

## About the Role

15+ Years (with 3 5+ years in AI/ML, Generative AI)

## Description

We are seeking an experienced GenAI Solution Architect to lead the design, development, and deployment of enterprise-scale Generative AI solutions. The ideal candidate will possess strong expertise in AI/ML, Large Language Models (LLMs), cloud platforms, data architecture, and software engineering. The role involves collaborating with business stakeholders, product teams, and engineering teams to build innovative AI-powered solutions that drive business value., Solution Architecture & Design

 * Design end-to-end Generative AI solutions aligned with business objectives.
 * Define scalable, secure, and resilient AI architecture patterns.
 * Lead AI transformation initiatives and solution roadmaps.
 * Evaluate and recommend suitable AI/ML frameworks, models, and cloud services.

Generative AI Development

 * Architect applications utilizing:

 * Large Language Models (GPT, Claude, Gemini, Llama, Mistral)
 * Retrieval-Augmented Generation (RAG)
 * Agentic AI Frameworks
 * Prompt Engineering
 * Vector Databases
 * Fine-tuning and Model Optimization

Design multi-agent AI systems and AI copilots.

Cloud & Data Integration

 * Build AI solutions using Azure AI Services, Azure OpenAI, AWS Bedrock, or Google Vertex AI.
 * Integrate enterprise data sources, APIs, and knowledge repositories.
 * Design data pipelines supporting AI model deployment and monitoring.

Governance & Security

 * Implement Responsible AI principles and governance frameworks.
 * Ensure compliance with security, privacy, and regulatory requirements.
 * Establish model monitoring, explainability, and risk management practices.

Stakeholder Management

 * Work closely with business leaders to identify AI use cases.
 * Translate business requirements into technical architectures.
 * Present AI solutions to executive leadership and clients.

Delivery & Innovation

 * Provide technical leadership throughout project execution.
 * Evaluate emerging AI technologies and industry trends.
 * Mentor engineering teams on AI best practices and architecture standards.


## Related Videos

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- [Building Products in the era of GenAI](https://www.wearedevelopers.com/videos/827-building-products-in-the-era-of-genai)
- [Speak, Code, Deploy: Transforming Developer Experience with Voice Commands](https://www.wearedevelopers.com/videos/1159-speak-code-deploy-transforming-developer-experience-with-voice-commands)

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