AI Solutions Architect

Valiant Technologies LLC; Dallas (TX); On-site; USD 110,000 - 131,000; Full time

Job summary

Valiant Technologies LLC is seeking an AI Solutions Architect in Dallas, TX for a 12-month engagement with extension possible. The role requires delivering AI-powered solutions, integrating models and enterprise systems, and producing high-quality code for client environments.

You will engage directly with stakeholders, support end-to-end delivery, and contribute to scalable deployments on cloud platforms while driving knowledge transfer and reusable patterns across projects.

Qualifications

• Bachelor's or Master's degree in CS, Engineering, Data Science, or related field.
• Experience in client-facing engagements with stakeholders.
• Experience with APIs, data pipelines, or distributed systems.
• Familiarity with cloud platforms.
• Ability to work in client-facing delivery environments.
• Ability to execute against defined requirements and evolving priorities.

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 production-ready code; support end-to-end delivery.
• Hands-on engineering 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 on defined project plans, timelines, and deliverables.
• Contribute to iterative development cycles with client and team feedback.
• Support alignment between technical implementation and client expectations.
• Documentation & Knowledge Transfer: document components, integration points, and deployment processes.
• Contribute to reusable implementation patterns, assets, and playbooks.

Skills

Client-facing delivery

Cloud platforms familiarity

Distributed systems

APIs & data pipelines

Documentation & knowledge transfer

Education

Bachelor's or Master's in Computer Science/Engineering/Data Science

Tools

AWS

Azure

GCP

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.