AI Solutions Architect

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 No
  
  SQL databases to design scalable data models and retrieval patterns.
• Support CI/CD strategy, deployment automation, and engineering workflows using Git Hub 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.

• 5+ years of experience in software engineering
• Strong hands-on software engineering experience, including recent coding experience
• Experience designing and building production applications using Python
• Practical experience with Generative AI and Retrieval-Augmented Generation, or RAG
• Strong technical background with C#, .NET, React.js, and Node.js
• Experience with cloud infrastructure, preferably Microsoft Azure
• Experience with MongoDB or another No
  
  SQL database
• Experience with CI/CD pipelines and automation using Git Hub Actions
• Ability and willingness to contribute directly to code, architecture, technical design, and implementation
• Ability to work onsite Tuesday through Thursday in the Spring, TX area
• Must be based in or near Houston, TX
• Strong communication skills with both technical and non-technical stakeholders.