We are looking for an experienced AI Manager to lead the delivery of enterprise AI applications in Houston, Texas. This role combines technical leadership with hands-on engineering, guiding full-stack AI solutions from data pipelines and backend services to user-facing applications powered by machine learning and generative AI. The successful candidate will work closely with cross-functional partners while building a strong engineering culture centered on quality, accountability, and practical innovation.
Responsibilities:
- Lead and develop a team of full-stack AI engineers supporting multiple projects at the same time, providing direction, mentorship, and consistent performance feedback.
- Contribute directly to active engineering work by helping design, build, and refine AI-enabled applications across frontend, backend, and data environments.
- Architect scalable solutions that connect data ingestion, application services, machine learning capabilities, and user interfaces into cohesive products.
- Establish and uphold engineering practices related to code reliability, testing discipline, security controls, and technical documentation.
- Review architecture decisions and software deliverables to maintain a high standard for performance, maintainability, and production readiness.
- Partner with product leaders, data engineers, and AI specialists to translate business goals into practical technical plans and delivered solutions.
- Promote responsible use of AI-assisted development tools and define working standards that improve code quality and team effectiveness.
- Assess emerging AI engineering tools and methodologies, sharing recommendations and embedding useful practices across the team.
- Support hiring, coaching, and team development efforts to strengthen capability, accountability, and delivery excellence.
- 10+ years of experience in software engineering, with significant exposure to AI-driven or machine learning-based application development.
- Demonstrated success leading engineering teams while remaining technically involved in architecture and implementation.
- Strong background in AI engineering, including building applications that incorporate LLMs or other advanced AI capabilities.
- Proficiency in Java and experience developing and integrating REST APIs for enterprise systems.
- Practical knowledge of CI/CD processes and modern software delivery practices.
- Experience designing full-stack systems that span data pipelines, backend services, and front-end applications.
- Ability to collaborate effectively with technical and business stakeholders in a fast-moving project environment.