AI manager

Novalink Solutions; Phoenix (AZ); On-site; USD 140,000 - 210,000; Full time

Job summary

Novalink Solutions in Phoenix, AZ is seeking an experienced AI Manager to lead enterprise AI initiatives from strategy to scalable deployment. You will manage a team of AI engineers and analysts, translate business goals into technical requirements, and drive measurable ROI while ensuring ethical and regulatory compliance.

The role requires 5+ years in data science, ML, or AI engineering with at least 2+ years in leadership, and hands-on experience with AI frameworks and cloud services.

Qualifications

• 5+ years in data science, ML, or AI engineering.

Responsibilities

• Define the AI strategy and roadmap for enterprise initiatives.
• Act as the bridge between technical teams and business stakeholders.
• Hire, mentor, and lead a team of AI/ML professionals.
• Oversee model lifecycles from deployment to monitoring and retirement.
• Ensure governance, risk, and data privacy compliance.

Skills

AI leadership

Communication

Education

Bachelor's or Master's in CS/AI/Data Science

Tools

PyTorch

TensorFlow

LangChain

Cloud AI services (AWS/GCP/Azure)

Job description

Phoenix, United States | Posted on 11/02/2026

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.

Requirements

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.