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.

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 NoSQL database
Experience with CI/CD pipelines and automation using GitHub 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.

AI Solutions Architect

Key skills