AI Specialist - Artificial Intelligence & Automation

Safari Land•Jacksonville, FL

About The Position

The AI Specialist will lead the insertion and deployment of AI into the Cadre Operating Model. The role works with employees across Cadre to develop AI knowledge and adoption through in-person training, and serves as a technical resource to help process subject matter experts build practical AI solutions. These solutions aim to reduce waste and cycle times, improve insight and responsiveness, accelerate innovation, and make previously difficult work practical. The role identifies, develops, and deploys AI-driven solutions that create sustainable competitive advantage, simplify business processes, and improve customer service. It connects business priorities with advanced analytics, machine learning, and generative AI to deliver practical, scalable solutions.

Requirements

Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field.
3–7+ years of experience in AI/ML, data science, or advanced analytics.
Proficiency in Python, SQL, and machine learning frameworks such as TensorFlow or PyTorch.
Experience with cloud platforms such as Azure, AWS, or Google Cloud.
Demonstrated ability to translate business needs into technical solutions.

Nice To Haves

Experience with generative AI, including LLMs, prompt engineering, or Copilot tools.
Background in workflow automation and process improvement.
Familiarity with enterprise systems such as ERP, CRM, and data platforms.
Experience in B2B and manufacturing.

Responsibilities

Identify and prioritize high-impact AI use cases that strengthen market differentiation.
Partner with leaders to align AI initiatives with strategic growth, innovation, and customer experience objectives.
Translate complex business challenges into scalable AI-enabled solutions.
Design and deploy AI-powered solutions that simplify work, reduce complexity, and improve operational clarity.
Improve decision-making by enabling better access to data, insights, and predictive analytics.
Develop AI solutions to enhance responsiveness, accuracy, and consistency in customer interactions.
Support initiatives that improve service levels, speed of delivery, and customer satisfaction.
Use AI to anticipate customer needs and enable proactive service models while preserving human interaction.
Build, test, and deploy machine learning and generative AI models in production environments.
Rapidly prototype new capabilities and scale proven solutions across the organization.
Ensure data quality, accessibility, and governance to enable reliable AI outputs.
Collaborate with IT and data engineering teams to support scalable data infrastructure.
Maintain compliance with data privacy, security, and ethical AI standards.
Partner across Operations, Customer Service, Sales, Finance, Product, and IT to embed AI into the business.
Advise on AI capabilities, opportunities, and best practices.
Train and enable teams to use AI tools effectively.