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# AI Solution Architect

- **Company:** LIGHTHOUSE
- **Location:** Buffalo, NY, United States (Remote available)
- **Salary:** $187,200.0 - $208,000.0
- **Contract:** Temporary contract
- **Skills:** Agile Methodology, Artificial Intelligence, Microsoft Azure, Enterprise Architecture Framework, Machine Learning, Software Engineering, Enterprise Software Applications, Generative AI, AI Platforms
- **Published:** September 26, 2026
- **Apply:** https://www.dice.com/job-detail/941e0c42-c6a3-4ca2-acd4-a9fc337d24a7

## About the Role

* Enterprise level architecture and solution design experience across cloud, application, and data domains
 * Strong executive-level communication skills with the ability to engage both technical and business leaders
 * Experience developing and integrating applications using modern architecture principles and patterns
 * Working knowledge of enterprise architecture frameworks and tools
 * Experience in software engineering, solution architecture, or technology delivery
 * Hands-on experience with Microsoft Azure, including AI platforms such as Azure OpenAI or AI Foundry
 * Experience evaluating AI technologies and guiding development teams in AI adoption
 * Strong understanding of emerging AI trends and their enterprise applications, * Graduate degree in a business or technical discipline
 * Experience working in Agile environments
 * Experience in financial services or regulated industries
 * Familiarity with AI platforms such as OpenAI or Anthropic
 * Experience supporting enterprise-level AI strategy and roadmap development

## Description

Lighthouse Technology Services is partnering with our client to fill their AI Solution Architect position! This is a 6-18+ month contract opportunity and will be remote with expected travel to Buffalo, NY.

This role will be a W2 employee of Lighthouse Technology Services. No C2C.

What You'll Be Doing:

 * Provide Generative AI and Applied AI expertise, including experience evaluating and implementing AI solutions
 * Design enterprise AI solutions using GenAI, machine learning, and intelligent automation
 * Architect and integrate AI capabilities across cloud, data, and enterprise platforms
 * Translate complex AI concepts into business value


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