AI Solutions Architect

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

Job summary

Robotic Technologies Automation seeks an AI Solutions Architect in Dallas, TX to deliver AI-powered solutions, including LLM-based workflows and copilots, in client environments. You will design, build, test, and deploy integrations between AI models, APIs, and enterprise systems.

The role requires collaboration with stakeholders, hands-on development with distributed systems and cloud platforms, and a focus on scalable, production-ready implementations.

Qualifications

• Experience working with APIs, data pipelines, or distributed systems.
• Familiarity with cloud platforms.
• Ability to work effectively in client-facing delivery environments.

Responsibilities

• Deliver AI-powered solutions, including LLM-based workflows and copilots.
• Integrate AI models with APIs and enterprise systems.
• Translate designs into production-quality code and support testing.
• Engage with clients to align technical work with business needs.
• Work on distributed systems and cloud deployments for scalable solutions.
• Prepare data, configure prompts, and integrate models for AI use cases.
• Document components and provide knowledge transfer to client teams.
• Support ongoing development, deployment activities, and timelines.

Skills

APIs

Data pipelines

Distributed systems

Cloud platforms

Client-facing delivery

Education

Bachelor's degree in Computer Science

Master's degree in a technical discipline

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.