AI manager

Sunrise Systems, Inc.; Phoenix (AZ); Hybrid; USD 150.000 - 230.000; Vollzeit

Zusammenfassung

Sunrise Systems, Inc. is seeking an experienced AI Manager to lead our AI initiatives from strategic framing to scalable deployment.

You will oversee a team of AI engineers, analysts, and operations specialists, translating business goals into technical requirements and ensuring responsible, compliant AI systems with measurable impact. The role requires 5+ years in data science/ML, at least 2 years in a leadership role, and strong communication with executives.

Qualifikationen

• 5+ years of experience in data science, machine learning or AI engineering.
• 2+ years in a leadership or management capacity.
• Microsoft OpenAI experience.
• Strong ability to communicate complex concepts to executives and teams.

Aufgaben

• Strategic Leadership: Define the roadmap and objectives for enterprise AI and ML initiatives.
• Cross-Functional Collaboration: Bridge between data science, MLOps, software engineering and business stakeholders.
• Team Management: Hire, mentor, and oversee a team of AI/ML professionals.
• Model Lifecycle & Operations: Oversee deployment, monitoring, data drift tracking and retirement.
• Governance & Compliance: Coordinate risk assessments, bias testing, and data privacy compliance.
• Performance Metrics: Track latency, model availability, accuracy, and ROI.

Jobbeschreibung

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.