$153,200–$187,700
AI Specialist - Artificial Intelligence & Automation
Published · Updated
Pay not postedJacksonville, FL
Leads the adoption and deployment of AI across the Cadre Operating Model, translating business priorities into practical, scalable machine-learning and generative-AI solutions.
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At a glance
Posted base pay
Not posted
Median $190K
Typical senior FDE payMiddle 50% of 1,803 postings$160K–$220KThe work
Builds for teams inside the company
Balance
- Mostly building
- Mixed
- Mostly pre-sales or support
Project stages
- Pre-sales (not covered)
- Proof of concept (not covered)
- Implementation
- Operations (not covered)
- Coding
- Writes production code
- Builds for
- Internal teams
- Level
- Senior
- Role
- Technical lead
What they ask for
Experience
Background
Tools
Less common in FDE jobs
- Company stage: Subsidiary3%
- Who you build for: Internal teams14%
- Company size: About 1,001–5,000 people16%
- Individual contributor or manager: Technical lead47%
Share of US FDE postings that state each fact.
The job description from The Safariland Group
Posted by The Safariland Group on
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.
View posting at The Safariland Group
About The Safariland Group
The Safariland Group is Cadre Holdings’ safety equipment portfolio, spanning armor, duty gear, EOD products, communications, and nuclear safety.
Acquired · 2000–5000 people
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