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Ai Implementation Jobs (NOW HIRING)

Cardone Training Technologies, Inc.

NY · On-site

$84K - $110K/yr

AI Implementation Specialist/Coach Full Time Professional AVENTURA, FL, US 3 days ago Requisition ID: 1329 Salary Range: $84,000.00 To $110,000.00 Annually Position Overview The AI Implementation ...

Highbeam, Inc

AI Implementation Associate

New York, NY · On-site

$130K - $180K/yr

About this role We're hiring a Finance AI Implementation Associate to sit at the seam between our customers and our product. You'll work directly with brands to optimize their cash across cash ...

Dash-Technologies-Inc.

OH · On-site

If you've done implementation at a B2B software company and you're genuinely excited about AI, this is a strong fit. WHY JOIN NOW * Ground-floor opportunity -- you'll be the first dedicated ...

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How much do ai implementation jobs pay per year?

As of Sep 12, 2026, the average yearly pay for ai implementation in the United States is $103,518.00, according to ZipRecruiter salary data. Most workers in this role earn between $75,500.00 and $121,000.00 per year, depending on experience, location, and employer.

What is an AI implementation?

An AI Implementation job involves deploying artificial intelligence solutions within an organization to improve efficiency, automation, and decision-making. Professionals in this role work closely with data scientists, engineers, and business teams to integrate AI models into existing systems. They manage data pipelines, ensure model performance, and address challenges related to scalability and compliance. Strong technical skills, project management, and an understanding of business processes are essential for success in this role.

What are the key skills and qualifications needed to thrive in the AI implementation position?

To excel in AI Implementation, you need a robust understanding of machine learning concepts, data analysis, and software development, often supported by a degree in computer science or a related field. Familiarity with tools such as Python, TensorFlow, cloud platforms (AWS, Azure), and AI integration frameworks is commonly required, along with relevant certifications. Strong project management, problem-solving abilities, and excellent communication skills are crucial for coordinating with stakeholders and driving adoption. Mastering both technical and interpersonal skills ensures projects are delivered effectively and meet business objectives within diverse organizational settings.

What kinds of teams and departments does an AI implementation professional typically collaborate with?

AI Implementation professionals usually work cross-functionally, interacting with data scientists, software engineers, IT departments, and business stakeholders to ensure AI solutions address specific business needs. Regular collaboration with product managers and operations teams helps align technical efforts with strategic objectives and regulatory requirements. You may also work closely with end users to gather feedback, refine implementations, and ensure a smooth adoption process. This collaborative environment not only enhances the quality of AI deployments but also offers valuable exposure to different aspects of the organization, fostering professional growth.

How to become an AI implementation specialist?

To become an AI implementation specialist, individuals typically need a strong background in computer science, data science, or related fields, along with knowledge of machine learning, programming languages like Python, and AI frameworks such as TensorFlow or PyTorch. Gaining experience through internships, certifications, or projects involving AI deployment is also valuable. Continuous learning and staying updated on AI tools and industry trends are essential for success in this role.

How to get into AI implementation?

To pursue a career in AI implementation, develop strong skills in programming languages such as Python, understand machine learning frameworks like TensorFlow or PyTorch, and gain experience with data analysis and model deployment. Earning relevant certifications or degrees in computer science, data science, or AI can also enhance your qualifications.
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Ai Implementation jobs near you
Infographic showing various Ai Implementation job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 77% Full Time, 19% Part Time, and 3% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution, with an average salary of $103,518 per year, or $49.8 per hour.

AI Implementation Specialist/Coach

NY • On-site

Cardone Training Technologies, Inc.
Business Schools and Computer and Management Training • 51 - 200 employees
Learn more about Cardone Training Technologies, Inc.external

$84K - $110K/yr

Other

Posted 12 days ago

Job description

If you are unable to complete this application due to a disability, contact this employer to ask for an accommodation or an alternative application process.

AI Implementation Specialist/Coach

Full Time Professional AVENTURA, FL, US

3 days ago Requisition ID: 1329

Salary Range: $84,000.00 To $110,000.00 Annually

Position Overview

The AI Implementation Coach helps client teams identify, adopt, and embed practical AI tools into their day-to-day marketing and sales workflows, coaching clients directly through selection, rollout, and change management.

Key Responsibilities
  • Assess client workflows to identify high-value opportunities for AI tool adoption (content, CRM, reporting, customer service, etc.).
  • Recommend, configure, and pilot AI tools appropriate to client size, budget, and technical maturity.
  • Coach client teams through adoption — training sessions, documentation, and troubleshooting — until tools are self-sustaining.
  • Stay current on the fast-moving AI tool landscape relevant to marketing and revenue operations.
  • Build repeatable playbooks and training materials the firm can reuse across the client portfolio.
Required Qualifications
  • 2+ years applying AI tools in a business or marketing context (not required to be an engineer or data scientist).
  • Strong working knowledge of current generative AI and automation tools (e.g., ChatGPT/Claude, Zapier/Make, AI-native CRM features).
  • Proven ability to teach and drive adoption of new tools with non-technical teams.
Preferred Qualifications
  • Change-management or training/facilitation background.
  • Experience building simple automations or integrations.
  • Consulting or agency experience across multiple client industries.
What We Look For in Every Client-Facing Expert
  • Think Bigger Mindset — approaches every client problem by asking 'what would 10x better look like?' rather than settling for marginal fixes.
  • Service-Minded — treats every client interaction as a chance to build trust; follows through without being chased.
  • Clear Communicator — translates technical or strategic detail into language a business owner can act on, in writing and live sessions.
  • Coach, Not Just Doer — comfortable teaching a client to run a process, not only running it for them.
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