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AI Manager

  • Houston, TX, United States

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Job details

Experience
Requirements • 10+ years of experience in software engineering, with significant exposure to AI-driven or machine learning-based application development.
Posting language
English
Posted

Original job description

Description 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. Requirements • 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. Technology Doesn't Change the World, People Do.®

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