Phoenix, AZ - IT - AZDES - DTS - Manager - AI manager
Abacus Service · Phoenix, AZ
All reasons
In its favour
- Posted today
- Still listed on the employer's own board
Position Information
Position Type
Staff Augmentation
Hours/Week
40
Billing Type
Hourly
Shift
Day
Projected Start Date
11/30/2026
Start Time
8:00 AM
Projected End Date/Duration
06/30/2027
End Time
5:00 PM
Bid Limit Per Vendor
2
Number of Positions
1
Desired Career Level
None Selected
Minimum Education Level
None Selected
Weekend
None
Position Location
Address
1400 W Washington St
City
Phoenix
State
Arizona
Zip
85007
Country
UNITED STATES
Requirements
Travel Required
No
Security Required
Yes
Onboarding Category
The following are required for bid submission
- Resume
- R2R
- Cover Letter
- Meets Work Location
Position 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
Skill Type
Skill Name
2+ years of leading and managing AI teams
Governance & Compliance
Coordinate risk assessments, model validation, bias testing, and data privacy compliance.
Preferred Skills
Skill Type
Skill Name
Open AI experience
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