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Ai Enablement Jobs (NOW HIRING)

AI Enablement Lead Remote | US At Nimble Gravity, we help organizations turn data, AI, and technology into measurable business results. The AI Enablement Lead helps clients understand, adopt, and ...

In addition, the AI Enablement Manager champions AI literacy, promotes responsibleuse practices, and supports changemanagement efforts to help Franciscan Alliance adopt AI safely and effectively.

Work From Home Work From Home Work From Home, Indiana 46544 The AI Enablement Manager leads the coordination, execution, and oversight of the organization's AI initiatives to ensure safe, compliant ...

About the role Liquid Agency is looking for an AI Enablement Lead to help transform how work gets done across the organization. This role is responsible for turning AI strategy into practical ...

AI Enablement Lead Remote | US At Nimble Gravity, we help organizations turn data, AI, and technology into measurable business results. The AI Enablement Lead helps clients understand, adopt, and ...

AI Enablement Specialist Department Strategic Operations Reports To Director of Strategic Operations Location Corporate Office - Marion, Indiana (In-Office) Position Type Full-Time (Exempt / Salary ...

$100 - $125/hr

AI Enablement Lead Remote | US At Nimble Gravity, we help organizations turn data, AI, and technology into measurable business results. The AI Enablement Lead helps clients understand, adopt, and ...

Position Summary Jorie Healthcare Partners is seeking an Enterprise AI Enablement Lead to drive the responsible adoption of Artificial Intelligence technologies across the organization. This ...

Position Summary Jorie Healthcare Partners is seeking an Enterprise AI Enablement Lead to drive the responsible adoption of Artificial Intelligence technologies across the organization. This ...

Position Summary Jorie Healthcare Partners is seeking an Enterprise AI Enablement Lead to drive the responsible adoption of Artificial Intelligence technologies across the organization. This ...

Internally titled AI Enablement Lead, Strategic Initiatives At WelbeHealth, we serve our communities' most vulnerable seniors through shared intention, pioneering spirit, and the courage to love.

Director, AI Enablement

Atlanta, GA · On-site

$150 - $200/hr

Director, AI Enablement**Reports To**: SVP, Chief Technology Officer**Department:** Technology and Digital Platforms**Location:** On-Site -- Atlanta, GA**Revised:** May 2026**Job Summary:** Leads AI ...

Director, AI Enablement Reports To : SVP, Chief Technology Officer Department: Technology and Digital Platforms Location: On-Site - Atlanta, GA Revised: May 2026 Job Summary: Leads AI enablement ...

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Ai Enablement information

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How much do ai enablement jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for ai enablement in the United States is $52.22, according to ZipRecruiter salary data. Most workers in this role earn between $24.52 and $68.03 per hour, depending on experience, location, and employer.

What is the difference between Ai Enablement vs Data Scientist?

AspectAi EnablementData Scientist
Required CredentialsTypically requires knowledge of AI tools, programming, and business integrationRequires degrees in data science, statistics, or related fields, with skills in programming and analytics
Work EnvironmentCollaborates with technical teams, product managers, and business units to deploy AI solutionsAnalyzes data, builds models, and interprets results to inform business decisions
Industry UsageUsed across industries to enable AI adoption and integration into products and servicesPrimarily in analytics, research, and data-driven decision-making roles

While both roles involve working with data and AI, Ai Enablement focuses on deploying and integrating AI solutions within organizations, whereas Data Scientists analyze data to develop models and insights. Ai Enablement professionals bridge technical and business needs to operationalize AI, making their role more implementation-oriented compared to the analytical focus of Data Scientists.

What is an AI enablement role?

An AI enablement role involves supporting organizations in adopting and integrating artificial intelligence technologies. This includes tasks such as developing AI strategies, training teams on AI tools, and ensuring successful deployment of AI solutions, often requiring skills in data analysis, machine learning, and technical communication.
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What states have the most Ai Enablement jobs?

States with the most job openings for Ai Enablement jobs include:

Infographic showing various Ai Enablement job openings in the United States as of August 2026, with employment types broken down into 76% Full Time, 20% Part Time, and 4% Contract. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution, with an average salary of $108,612 per year, or $52.2 per hour.

Ai Enablement Specialist

Washington Companies LLC

Missoula, MT • On-site

Full-time

Posted 10 days ago


Key responsibilities

  • Work with business leaders, application owners, technology teams, and employees to move AI from awareness and experimentation into practical, repeatable use.

  • Build employee understanding of AI fundamentals, develop and deliver hands-on learning experiences, and create enablement materials.

  • Build trusted relationships with stakeholders to understand business priorities, facilitate discovery sessions, document use cases, and maintain an opportunity pipeline.


Washington State Patrol rating

8.6

Company rating: 8.6 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

8th of 45 rated police


Job description


The AI Enablement Specialist will serve as a hands-on educator, business partner, and change catalyst. The role will work with business leaders, application owners, technology teams, and employees across the Washington Companies to move AI from awareness and experimentation into practical, repeatable use. AI capabilities to guide users, support pilots, and connect approved ideas with the right resources.
Responsibilities
AI Literacy & Enablement
• Build employee understanding of AI fundamentals, appropriate use, and practical ways AI can support everyday work.
• Develop and deliver hands-on learning experiences such as training sessions, demonstrations, workshops, office hours, and coaching.
• Create reusable enablement materials, including prompt examples, quick-reference guides, playbooks, role-based examples, and learning resources.
• Help employees become confident using Microsoft Copilot and other approved AI-enabled tools by explaining capabilities, limitations, and effective prompting techniques.
Business Opportunity Discovery & Development
• Build trusted relationships with leaders and employees to understand business priorities, pain points, repetitive work, and improvement opportunities.
• Facilitate discovery sessions that translate business challenges into clearly defined AI, automation, analytics, or process-improvement opportunities.
• Document use cases, including the business problem, users, expected value, readiness needs, owner, and success measures.
• Maintain an opportunity pipeline and coordinate handoffs to the appropriate delivery teams.
Change Adoption & Value Realization
• Develop adoption plans that help business teams move approved AI capabilities from awareness into consistent, practical use.
• Support change management activities, including stakeholder communication, readiness planning, reinforcement, feedback collection, and issue escalation.
• Identify adoption barriers such as low confidence, unclear use cases, workflow friction, access constraints, or content readiness, and recommend practical ways to address them.
• Track and communicate value measures such as active use, time saved, quality improvements, employee feedback, business outcomes, and next steps for continued adoption.
Technical Skills & Knowledge
• Working knowledge of Microsoft 365 Copilot, Copilot Studio, agents, Power Platform, workflow automation, Microsoft AI tools and the suite of Microsoft 365 products.
• Understanding of generative AI concepts, prompt techniques, copilots, agents, automation, and human review of AI-generated work.
• Ability to evaluate and demonstrate AI features embedded in enterprise applications and vendor software.
• Ability to create simple examples, prompts, demonstrations, agents, or low-code automations for learning and opportunity validation.
• Ability to interpret adoption and usage data and translate findings into practical recommendations.
Skills and Competencies Required
• Strong facilitation, presentation, coaching, and written communication skills.
• Ability to make technical concepts understandable, relevant, and approachable.
• Strong business curiosity and ability to learn varied functions, workflows, and operating models.
• Practical problem-solving skills, including the ability to define problems, assess options, and recommend next steps.
• Strong relationship-building skills across business, technical, management, and frontline audiences.
• Ability to support change, build confidence, and help employees adopt new ways of working.
• Strong organization and follow-through with the ability to manage multiple learning, discovery, and adoption efforts.
• Learning agility, sound judgment, and comfort adapting as AI tools and business needs evolve.
Qualifications
Education:
• Bachelor's degree in business, information systems, communications, education, computer science, engineering, data science, or a related field; or equivalent experience.
• Relevant certifications in AI, Microsoft technologies, change management, business analysis, instructional design, or process improvement are considered an asset.
Experience:
• 2+ years of progressive experience in AI enablement
• 5+ years of technology adoption, business analysis, process improvement, change management, learning and development, data, analytics, or related technology roles.
• Demonstrated experience helping employees adopt new technology through training, hands-on workshops, coaching, office hours, demonstrations, job aids, or champion networks.
• Experience partnering with business teams to identify pain points, assess workflow opportunities, document use cases, define success measures, and translate needs into practical AI, automation, analytics, or process-improvement opportunities.
• Hands-on experience using Microsoft 365 Productivity suite and Microsoft 365 Copilot, Copilot Studio, Power Platform, generative AI, or other AI-enabled tools to improve processes, analyze information, develop examples or prototypes, and support measurable business value.

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