AI Solutions Architect

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

US Citizen, Green Card, H-1B, OPT-EAD, CPT, Other

Job Title: AI Solutions Architect
Location: Dallas, TX
Duration: 12 Months + Extension
Bill Rate: $83/hour
Job Type: W-2, 1099, C2C
Client: To Be Discussed Later
Work Authorization: US-Citizen, H-1B, OPT-EAD, GC-EAD

Job Description :

Primary Responsibilities:

• Solution Implementation Delivery Build and deploy 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 defined solution designs into high-quality, production-ready code Contribute to end-to-end delivery by supporting development, testing, and deployment activities.
• Hands-on Engineering work with distributed systems and cloud platforms to support scalable, reliable 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 on defined project plans, timelines, and deliverables.
• Contribute to iterative development cycles, incorporating client and team feedback.
• Support alignment between technical implementation and client expectations.
• Documentation & Knowledge Transfer
• Document solution components, integration points, and deployment processes.
• Support knowledge transfer to client technical teams to enable adoption and sustainability.
• Contribute to reusable implementation patterns, assets, and playbooks.
• Success Measures Demonstrates strong execution in translating requirements into working systems. Communicates clearly within teams and supports client delivery activities.
• Builds capability in both technical implementation and client engagement over time.

Required Qualifications:

• Bachelor's or Master degree in Computer Science, Engineering, Data Science, or related field.
• Demonstrated experience working in client-facing engagements, including partnering directly with stakeholders to Experience working with APIs, data pipelines, or distributed systems.
• Familiarity with cloud platforms.
• Demonstrated ability to work effectively in client-facing delivery environments.
• Demonstrated ability to execute against defined requirements and evolving priorities.

Preferred Qualifications:

• Master's degree in a technical discipline.
• Demonstrated solid execution focus with attention to detail and code quality.
• Willingness to take ownership of assigned components and deliver reliably.
• Continuous learning mindset, particularly in AI and emerging technologies.

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.