NTT
Generative AI Solutions Architect
$92K–$131K
Texas, United States of America · Remote Working · Full-time · Posted Sep 22, 2026
- Experience
- Demonstrated experience is required; no number of years stated.
- Education
- Bachelor's degree in Computer Science, Software Engineering, Information Systems, or a related field; or equivalent practical experience.
About the job
Designs, builds, and supports secure, scalable generative AI applications and reusable capabilities, while advising teams on model selection, architecture, evaluation, and adoption.
What you'll do
- Build, test, deploy, and maintain GenAI applications, services, APIs, and reusable components.
- Evaluate models and design workflows such as prompting, RAG, tool use, and agentic patterns, including testing, guardrails, and fallback behavior.
- Advise project teams and stakeholders on AI feasibility, architecture, risks, and operations; maintain technical documentation, standards, and guidance.
What they ask for
- Bachelor's degree in a related field or equivalent practical experience.
- Working knowledge of software engineering practices for GenAI, including programming, APIs, source control, testing, containers, and automated deployment.
- Working knowledge of GPU compute, foundation models, and open-source or locally hosted model platforms.
- Demonstrated experience building and supporting GenAI solutions, integrating model-driven workflows, working across stakeholders, and creating technical documentation.
Nice to have
- Experience in network services, telecommunications, managed services, or similar infrastructure-based companies.
Pay
USD 92K-131K, base salary; incentive compensation may also be available, amount not stated.
Tools
Python, APIs, Ollama, Qwen, GPU
AI focus
Develops and evaluates GenAI applications and workflows, including foundation-model selection, RAG, tool use, agentic patterns, testing, evaluation, guardrails, and responsible AI adoption.
Model-written summary · the original posting is authoritative