Senior Manager, Artificial Intelligence- (Hybrid)

Cruise Planners HQ•Coral Springs, FL

7h•Hybrid

About The Position

The Senior Manager of Artificial Intelligence will oversee the implementation and management of AI-driven initiatives across the organization. Reporting to the Chief Information Officer (CIO), this role will manage the company’s AI infrastructure on AWS and coordinate integration with existing software systems and databases. The Senior Manager will guide AI projects that enhance business efficiency, automate processes, and support data-driven decision-making. The items listed above are intended to provide an overview of the essential functions of the job. This is not an exhaustive list of all functions and responsibilities that the position may be required to perform.

Requirements

Solid understanding of AWS cloud services (SageMaker, EC2, Lambda, S3, RDS, etc.) and infrastructure management.
Proficiency in Python, SQL, and at least one major machine learning framework (TensorFlow, PyTorch, Scikit-learn, etc.).
Experience working with large data environments, including relational databases and data lakes.
Understanding of API development, integration, and automation pipelines.
Familiarity with DevOps and MLOps principles for AI model deployment.
Strong communication and collaboration skills with both technical and non-technical stakeholders.
Proven ability to deliver AI projects that improve operational or analytical outcomes.
Strong organizational and problem-solving abilities.
Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
7+ years of experience in software engineering, data science, or AI/ML development, with 3+ years in a leadership or supervisory role.
This is a hybrid role (Remote: Mondays and Fridays, Onsite: Tuesdays, Wednesdays and Thursdays)

Responsibilities

Manage the execution of the company’s AI roadmap in alignment with strategic business goals.
Oversee AI infrastructure operations, including deployment, scaling, and optimization within AWS environments.
Demonstrated ability to design, develop, and maintain scalable data warehouse solutions
Supervise and mentor AI engineers, data scientists, and developers to ensure project success.
Ensure reliable integration between AI systems, the central MySQL database, and enterprise software applications.
Collaborate with cross-functional teams to identify opportunities for AI implementation and efficiency improvement.
Assist in evaluating and implementing appropriate machine learning frameworks, libraries, and cloud-based tools.
Maintain best practices for AI model lifecycle management, including data preparation, training, validation, and deployment.
Support compliance with data privacy, security, and governance standards for all AI initiatives.
Track and report on project progress, performance metrics, and deliverables.
Stay current with advancements in AI technologies and recommend improvements where beneficial.