Senior Enterprise Architect - Ai

Texas A&M University System Offices

College Station, Texas, USA
Commensurate with experience; not specified; not s...
Not specified
Ai and machine learning architecture strategy
Enterprise architecture standards for ai/ml
Ai/ml solution design and implementation
The Texas A&M University System Offices is seeking a Senior Enterprise Architect - AI to lead the development of AI solutions and strategies that align with the institution's mission and digital transformation goals. The role involves overseeing AI architecture, collaborating across institutions, and ensuring compliance with governance policies, while also providing technical leadership and mentorship

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

Match Score: 85

The Texas A&M University System Offices is seeking a Senior Enterprise Architect - AI to lead the development of AI solutions and strategies that align with the institution's mission and digital transformation goals. The role involves overseeing AI architecture, collaborating across institutions, and ensuring compliance with governance policies, while also providing technical leadership and mentorship.

Salary

Commensurate with experience; Not specified; Not specified

Skills & Requirements

Must-have

  • AI and machine learning architecture strategy
  • enterprise architecture standards for AI/ML
  • AI/ML solution design and implementation
  • generative AI and LLM solutions
  • MLOps best practices and CI/CD
  • AI governance policies and frameworks
  • responsible AI use and bias mitigation

Nice-to-have

  • strategic integration of AI capabilities
  • cross-functional architectural discussions
  • technical leadership and mentorship
  • AI literacy and technical capacity building
  • vendor and platform management for AI

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