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 |
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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