AI Solutions Architect — End-to-End AI & Cloud Deployments

Ethereum Technologies; Dallas (TX); On-site; USD 94,000 - 134,000; Full time

Job summary

Ethereum Technologies in Dallas, TX is seeking an AI Solutions Architect to lead the delivery of AI-powered solutions, including LLM-based workflows and automation. You will build integrations between AI models, APIs, and enterprise systems, and deliver production-ready code while supporting end-to-end delivery.

The role requires hands-on engineering with distributed systems and cloud platforms, data preparation, and collaboration with client stakeholders.

Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or related field.
• Experience working in client-facing engagements, partnering with stakeholders and working with APIs, data pipelines, or distributed systems.
• Familiarity with cloud platforms.
• Proven ability to work effectively in client-facing delivery environments.

Responsibilities

• Deliver AI-powered solutions, including LLM-based workflows, copilots, and automation tools in client environments.
• Implement integrations between AI models, APIs, and enterprise healthcare systems.
• Translate solution designs into production-ready code and support end-to-end delivery.
• Hands-on engineering work with distributed systems and cloud platforms for scalable deployments.
• Assist with data preparation, prompt configuration, and model integration for AI-driven solutions.
• Support technical discussions and working sessions with client stakeholders.
• Help execute defined project plans, timelines, and deliverables.
• Contribute to reusable implementation patterns, assets, and playbooks.

Skills

Client-facing delivery

APIs

Data pipelines

Distributed systems

Cloud platforms

Solution delivery

Education

Bachelor's or Master degree in Computer Science, Engineering, Data Science, or related field

Job description

Ethereum Technologies in Dallas, TX is seeking an AI Solutions Architect to lead the delivery of AI-powered solutions, including LLM-based workflows and automation. You will build integrations between AI models, APIs, and enterprise systems, and deliver production-ready code while supporting end-to-end delivery.

The role requires hands-on engineering with distributed systems and cloud platforms, data preparation, and collaboration with client stakeholders.