AI/ML Engineering Manager: Lead Enterprise AI Solutions

Maricopa Community Colleges; Tempe (AZ); On-site; USD 104,000 - 136,000; Full time

Benefits offered by this job

Medical coverage

Dental coverage

Vision coverage

Paid time off

Holidays

Job summary

Maricopa County Community College District (MCCCD) in Tempe, AZ seeks an AI/ML Engineering Manager to lead the AI/ML engineering function and deliver production-ready AI solutions. You will design, deploy, and operate scalable models, mentor engineers, and collaborate with governance, cybersecurity, and analytics teams to advance student success and institutional efficiency.

The role emphasizes engineering standards, secure and reliable AI, and building reusable patterns while guiding cloud

Qualifications

• Bachelor’s degree in computer science, data science, software engineering, information systems, AI, mathematics or related field.
• Six (6) years of progressively responsible experience in AI/ML engineering, software engineering and data engineering.
• Three (3) years deploying AI/ML solutions in cloud environments; two (2) years leading projects or mentoring staff.

Responsibilities

• Design, deploy, and maintain enterprise AI/ML solutions.
• Lead a team of AI/ML engineers and related staff; conduct code/design reviews.
• Ensure governance, security, and responsible AI practices across implementations.
• Collaborate with data engineers, governance, architecture, analytics, and cybersecurity teams.
• Drive production reliability, CI/CD, and MLOps practices.

Skills

AI/ML engineering

Team leadership

Solution architecture

Cloud computing

Education

Bachelor’s degree in CS or related field

Tools

AWS SageMaker

IAM

CloudWatch

Step Functions

API Gateway

ECS/EKS

Job description

Maricopa County Community College District (MCCCD) in Tempe, AZ seeks an AI/ML Engineering Manager to lead the AI/ML engineering function and deliver production-ready AI solutions. You will design, deploy, and operate scalable models, mentor engineers, and collaborate with governance, cybersecurity, and analytics teams to advance student success and institutional efficiency.

The role emphasizes engineering standards, secure and reliable AI, and building reusable patterns while guiding cloud