safariland

AI Specialist - Artificial Intelligence & Automation

Jacksonville, Florida · Posted today

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Salary
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Job type
Not specified
Work mode
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Source
Dayforce (employer's hiring system)

Skills mentioned

Machine Learning, Generative AI, Python, Data Science, Azure, SQL, TensorFlow, PyTorch

About the role

CADRE HOLDINGS, INC.Together, We Save Lives®

AI Specialist (Artificial Intelligence & Automation)

Position Summary

The AI Specialist will lead the insertion and deployment of AI into the Cadre Operating Model.  The position will work with employees throughout Cadre to cultivate and grow AI knowledge and use through in-person and face to face training and be the technical resource to help our process subject matter experts build practical solutions using AI to reduce waste, improve insight, reduce cycle times, improve responsiveness, accelerate innovation and make practical what was previously difficult.  Our AI focus will identify, develop, and deploy AI-driven solutions that create a sustainable competitive advantage, simplify business processes, and elevate the quality of service delivered to customers. This role connects business priorities with advanced analytics, machine learning, and generative AI to drive practical, scalable solutions.

Key Responsibilities

AI Strategy & Competitive Advantage

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

Business Simplification & Process Transformation

Design and deploy AI-powered solutions that simplify work, reduce complexity, and improve operational clarity

Streamline decision-making by enabling better access to data, insights, and predictive analytics

Customer Experience & Service Excellence

Develop AI solutions that enhance responsiveness, accuracy, and consistency in customer interactions

Support initiatives that improve service levels, speed of delivery, and overall customer satisfaction

Leverage AI to anticipate customer needs and enable proactive service models but preserving human interaction

Model Development & Implementation

Build, test, and deploy machine learning and generative AI models in production environments

Utilize tools such as Python, Azure AI, OpenAI, and enterprise data platforms

Rapidly prototype new capabilities and scale proven solutions across the organization

Data Management & Governance

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

Cross-Functional Leadership & Enablement

Partner across Operations, Customer Service, Sales, Finance, Product, and IT to embed AI into the business

Act as a trusted advisor on AI capabilities, opportunities, and best practices

Drive adoption by training and enabling teams to effectively use AI tools

Qualifications

Required

Bachelor’s degree in Computer Science, Data Science, Engineering, or related field

3–7+ years of experience in AI/ML, data science, or advanced analytics

Proficiency in Python, SQL, and machine learning frameworks (e.g., TensorFlow, PyTorch)

Experience with cloud platforms (Azure, AWS, or Google Cloud)

Demonstrated ability to translate business needs into technical solutions

Preferred

Experience with generative AI (LLMs, prompt engineering, Copilot tools)

Background in workflow automation and process improvement

Familiarity with enterprise systems (ERP, CRM, data platforms)

Experience in B2B and manufacturing

Key Competencies

Strong business acumen with a focus on differentiation and value creation

Ability to simplify complex problems and drive practical solutions

Clear communicator capable of translating technical concepts for business audiences

Bias for action and rapid experimentation

Strong collaboration and stakeholder influence

Success Metrics (KPIs)

Deployment of AI use cases that strengthen competitive positioning

Measurable improvements in process simplicity and speed

Increased adoption and usage of AI tools across the organization

Improvements in customer service performance and experience metrics

Scalability and reliability of deployed AI solutions

Why This Role Matters

This role is central to transforming how the business operates—leveraging AI to simplify execution, strengthen competitive advantage, and consistently deliver exceptional service to customers.

Job ID df-safariland-candidateportal-8456 · Original posting ↗