What are the responsibilities and job description for the AI manager (Phoenix, AZ ) position at TexcelVision Inc.?
Respond by: 11/04/2026
Job Location: Phoenix, Arizona,
Work Mode: Hybrid
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, Google Cloud Platform, 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