Highlights
Project Management: Proven track record of delivering complex technical projects on time and within budget using Agile or traditional project management methodologies. • 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).
Numbers & Facts
| Location | Phoenix, AZ |
| Industry | Staffing/Employment Agencies |
| Company Size | 100 to 499 employees |
| Year Founded | 1990 |
| Website | http://www.sunrisesys.com/ |
Description
AI manager
7 Months
Phoenix, AZ Hybrid
Open to out of state but they must be able to come into the office once a month on their own dime. Local candidates will be prioritized.
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
2+ years of leading and managing AI teams
Governance & Compliance: Coordinate risk assessments, model validation, bias testing, and data privacy compliance.
Preferred Skills
Open AI experience
7 Months
Phoenix, AZ Hybrid
Open to out of state but they must be able to come into the office once a month on their own dime. Local candidates will be prioritized.
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
2+ years of leading and managing AI teams
Governance & Compliance: Coordinate risk assessments, model validation, bias testing, and data privacy compliance.
Preferred Skills
Open AI experience
About Company
Sunrise Systems was founded in 1990 with a clear vision to deliver world-class staffing service solutions in all labor categories, including IT consulting and solutions; all with the commitment to provide service that exceeds expectations and become the most trusted name in the industry. More than two and a half decades later, we pride ourselves on being at the forefront of the staffing industry. Combining our deep industry expertise, insights, and global resources, we have partnered with our clients to connect them with top professionals across several different industries.
We provide cost-effective Managed Staffing Solutions, Information Technology and Information Technology Consulting Services to several Fortune 500 companies and U.S. Government agencies. We provide our clients with flexible engagement models and customized products that are budget and time specific. Understanding the challenges that every business faces, we offer our services either on-site at the clients' site or from one of our globally distributed technology centers. Our onshore and offshore development capabilities ensure that we excel at meeting customer requirements every single time.
Our collective business experience spans over two and a half decades and ranges from:
- Business, management, and technical fields
- Information technology consulting and software solutions.
- Providing strategic support for the development and long-term growth of new business ventures across several industries including but not limited to; accounting, banking, finance, and recruitment.
- Motivating technology staff and establishing partnerships with Fortune 500 companies
Sunrise Systems has a vast range of competence in:
- Design, development, and support of cloud-based solutions from simple to highly complexed
- Database administration of multi-platform applications, complex databases, and web-based environments that include all aspects of installation, planning, maintenance, and monitoring.
- Data processing and data migration
- Application re-engineering and platform migration
- Working with the Information Systems and end-user communities at all levels to resolve issues and establish consensus.