Senior Enterprise Architect - Ai

Texas A&M University System Offices

College Station, Texas, USA
Commensurate with experience; not specified; not s...
Ai and machine learning architecture strategy
Ai/ml solutions enterprise adoption
Generative ai, llm, nlp solutions
Develop, maintain, and communicate a comprehensive AI and machine learning architecture strategy and multi-year roadmap aligned with the Texas A&M University System’s institutional mission, strategic priorities, and digital transformation goals

Job Summary

  • Develop, maintain, and communicate a comprehensive AI and machine learning architecture strategy and multi-year roadmap aligned with the Texas A&M University System’s institutional mission, strategic priorities, and digital transformation goals.
  • Architect end-to-end AI/ML solutions—including data pipelines, model training and validation workflows, deployment infrastructure, and monitoring systems—ensuring scalability, reliability, security, and reproducibility.
  • The System Offices, within the Texas A&M University System, provides an outstanding benefits package including, but not limited to: competitive health benefits; paid vacation, sick leave, and holidays; a defined benefit retirement plan to include an employer contribution through Teachers Retirement System of Texas (TRS).

Matching Summary

Develop, maintain, and communicate a comprehensive AI and machine learning architecture strategy and multi-year roadmap aligned with the Texas A&M University System’s institutional mission, strategic priorities, and digital transformation goals.

Salary

Commensurate with experience; Not specified; Not specified

Skills & Requirements

Must-have

  • AI and machine learning architecture strategy
  • AI/ML solutions enterprise adoption
  • Generative AI, LLM, NLP solutions
  • MLOps best practices, CI/CD pipelines
  • AI governance policies and frameworks
  • Responsible AI, algorithmic bias mitigation

Nice-to-have

  • Cross-institutional collaboration
  • Stakeholder engagement and communication
  • Technical leadership and mentorship
  • Vendor and platform management
  • Research computing and AI infrastructure

Key Requirements

  • Master’s degree or Doctorate Degree
  • Four years of related experience (master’s)
  • Three years of related experience (doctorate)
  • U.S. citizens and legal permanent residents only

Work Rights

U.S. citizens and legal permanent residents only

Tailored Resume

Cover Letter