Skip to main content
Loading
loadingbar
Loading, Please wait..!!

Ai Manager

  • Ai Manager job type Posted on: Nov 02, 2026
  • Ai Manager experience level Blue Ribbon Global Technologies
  • Ai Manager employment type Phoenix, Arizona
  • Ai Manager employment type Onsite
  • Ai Manager salary Full-time

Point Apply Here APPLY LATER

Curious about compensation?

Explore the historical salary trends, average pay, and estimated compensation for Ai Manager roles in Arizona.

View Salary Guide →

Job Title :

Ai Manager

Job Type :

Full-Time

Job Location :

Phoenix Arizona United States

Remote :

No

Jobcon Logo Job Description :

We are looking for an experienced AI Manager to lead our artificial intelligence initiatives from strategic framing to scalable, responsible deployment. In this role, you will oversee a team of AI engineers, Business Analysts or operations specialists. You will translate high-level business goals into technical requirements, manage model lifecycles, and ensure our AI systems deliver measurable impact with strong ethical and regulatory compliance.


Key Responsibilities

Strategic Leadership: Define the roadmap, scope, and objectives for enterprise AI and machine learning initiatives.


Cross-Functional Collaboration: Serve as the primary bridge between technical teams (data science, MLOps, software engineering) and non-technical business stakeholders.


Team Management: Hire, mentor, and manage a team of AI/ML specialists, providing coaching, performance management, and career development.


Model Lifecycle & Operations: Oversee the operational lifecycle of AI models from deployment to monitoring, data drift tracking, and retirement.


Governance & Compliance: Coordinate risk assessments, model validation, bias testing, and data privacy compliance.


Performance Metrics: Track operational metrics including latency, model availability, accuracy, and business ROI.


Education: Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Statistics, or a related technical field.


Technical Literacy: Deep understanding of AI/ML architectures, machine learning lifecycles (MLOps), and modern frameworks (e.g., PyTorch, TensorFlow, LangChain, or cloud AI services on AWS, GCP, or Azure).


Project Management: Proven track record of delivering complex technical projects on time and within budget using Agile or traditional project management methodologies.


Communication Skills: Exceptional ability to explain complex algorithmic concepts clearly to executive leadership, product teams, and clients.


Experience: 5+ years of experience in data science, machine learning, or AI engineering, with at least 2+ years in a leadership or management capacity. Microsoft Open AI experience.

Required Skills :

Basic Qualification :

Additional Skills :

Background Check : No

Drug Screen : No

Jobcon Logo Position Details

Posted:

Nov 02, 2026

Reference Number:

6478-35661

Employment:

Full-time

City:

Phoenix

Job Origin:

CIEPAL_ORGANIC_FEED

Share this job:

  • linkedin

Jobcon Logo
A job sourcing event
In Dallas Fort Worth
Aug 19, 2017 9am-6pm
All job seekers welcome!

Ai Manager    Apply

Click on the below icons to share this job to Linkedin, Twitter!

We are looking for an experienced AI Manager to lead our artificial intelligence initiatives from strategic framing to scalable, responsible deployment. In this role, you will oversee a team of AI engineers, Business Analysts or operations specialists. You will translate high-level business goals into technical requirements, manage model lifecycles, and ensure our AI systems deliver measurable impact with strong ethical and regulatory compliance.


Key Responsibilities

Strategic Leadership: Define the roadmap, scope, and objectives for enterprise AI and machine learning initiatives.


Cross-Functional Collaboration: Serve as the primary bridge between technical teams (data science, MLOps, software engineering) and non-technical business stakeholders.


Team Management: Hire, mentor, and manage a team of AI/ML specialists, providing coaching, performance management, and career development.


Model Lifecycle & Operations: Oversee the operational lifecycle of AI models from deployment to monitoring, data drift tracking, and retirement.


Governance & Compliance: Coordinate risk assessments, model validation, bias testing, and data privacy compliance.


Performance Metrics: Track operational metrics including latency, model availability, accuracy, and business ROI.


Education: Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Statistics, or a related technical field.


Technical Literacy: Deep understanding of AI/ML architectures, machine learning lifecycles (MLOps), and modern frameworks (e.g., PyTorch, TensorFlow, LangChain, or cloud AI services on AWS, GCP, or Azure).


Project Management: Proven track record of delivering complex technical projects on time and within budget using Agile or traditional project management methodologies.


Communication Skills: Exceptional ability to explain complex algorithmic concepts clearly to executive leadership, product teams, and clients.


Experience: 5+ years of experience in data science, machine learning, or AI engineering, with at least 2+ years in a leadership or management capacity. Microsoft Open AI experience.

Required Skills :

Basic Qualification :

Additional Skills :

Background Check : No

Drug Screen : No

Loading
Please wait..!!