AI Solutions Architect Engineer

About the Role

We are seeking an
AI Solutions Architect Engineer
to join our team in Houston. This role is designed for a senior technical professional who can both define architecture and actively contribute to hands-on implementation.

This is not a purely advisory, high-level architecture, or documentation-only role. The selected candidate will be expected to write code, build prototypes, review pull requests, contribute to production systems, and guide engineering teams through delivery.

The ideal candidate has strong experience designing and building AI-enabled enterprise applications using
Python, Generative AI, Retrieval-Augmented Generation, or RAG, Azure cloud infrastructure, C#, .NET, React.js, Node.js, MongoDB or another NoSQL database, and GitHub Actions
.

Key Responsibilities

• 
  Design and build scalable AI-enabled applications across backend, frontend, cloud, data, and AI layers.
• 
  Architect and implement
  Generative AI
  solutions, including
  RAG-based workflows
  .
• 
  Write production-quality code using
  Python, C#, .NET, React.js, and Node.js
  .
• 
  Build prototypes, proof of concepts, APIs, backend services, frontend components, and AI integrations.
• 
  Review code, provide technical guidance, and help engineering teams solve complex implementation challenges.
• 
  Design cloud-based architectures, preferably on
  Microsoft Azure
  , including application services, data flows, integrations, and deployment patterns.
• 
  Work with
  MongoDB or other NoSQL databases
  to design scalable data models and retrieval patterns.
• 
  Support CI/CD strategy, deployment automation, and engineering workflows using
  GitHub Actions
  .
• 
  Partner with product, engineering, business, and leadership stakeholders to translate business needs into working software.
• 
  Establish best practices for scalability, performance, security, reliability, maintainability, observability, and responsible AI usage.

Requirements