1

Ai Practitioner Jobs (NOW HIRING)

AI Practitioner

West Des Moines, IA · On-site

$125 - $150/hr

The AI Practitioner will also support the "care and feeding" of AI systems -- maintaining, improving, and monitoring AI tools, agents, and models to ensure ongoing value creation and ethical ...

POSITION PURPOSE The AI Practitioner is an individual contributor responsible for driving the development, implementation, and optimization of AI-powered solutions across the enterprise. This role ...

ABOUT THIS ROLE LVT is looking for a hands-on AI practitioner to own and execute our AI initiatives across the organization. As an AI Specialist, you will build and ship production AI systems, shape ...

You don't need to be a developer or data scientist - but you should be a confident, knowledgeable AI practitioner who can credibly engage with both business leaders and technical teams. Job Details:

You don't need to be a developer or data scientist - but you should be a confident, knowledgeable AI practitioner who can credibly engage with both business leaders and technical teams. Job Details:

ABOUT THIS ROLE LVT is looking for a hands-on AI practitioner to own and execute our AI initiatives across the organization. As an AI Specialist, you will build and ship production AI systems, shape ...

ABOUT THIS ROLE LVT is looking for a hands-on AI practitioner to own and execute our AI initiatives across the organization. As an AI Specialist, you will build and ship production AI systems, shape ...

AWS Certified AI Practitioner or AWS Cloud Practitioner * CrowdStrike Falcon Platform Certifications (e.g., CCFA, CCFR) * Industry Security Certifications: CISSP, CCSP, or GIAC Cloud Security (GCSA ...

next page

Showing results 1-20

Ai Practitioner information

See salary details

$13

$19

$23

How much do ai practitioner jobs pay per hour?

As of Sep 9, 2026, the average hourly pay for ai practitioner in the United States is $19.82, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $21.15 per hour, depending on experience, location, and employer.

What is an AI practitioner?

AI Practitioners are professionals who specialize in designing, developing, and implementing artificial intelligence solutions. Their work involves applying machine learning, data analysis, and advanced algorithms to solve real-world problems across various industries. They often collaborate with data scientists, engineers, and business leaders to create intelligent systems that can automate tasks, extract insights from data, and improve decision-making processes. AI Practitioners typically have expertise in programming, mathematics, and statistics, as well as experience with AI frameworks and tools.

What are the key skills and qualifications needed to thrive as an AI practitioner?

To thrive as an AI Practitioner, you need strong analytical skills, a solid grounding in mathematics and statistics, and experience with programming languages like Python, often supported by a degree in computer science or a related field. Familiarity with machine learning frameworks (such as TensorFlow or PyTorch), data processing tools, and certifications like TensorFlow Developer or AWS Certified Machine Learning are highly valuable. Critical thinking, problem-solving, and effective communication set outstanding practitioners apart by enabling them to translate complex models into actionable business solutions. These skills and qualities are vital for developing robust AI systems that address real-world challenges and deliver measurable impact.

What are some common challenges AI practitioners face when integrating machine learning solutions into existing business processes?

AI Practitioners often encounter challenges such as aligning machine learning models with business objectives, ensuring data quality and availability, and managing stakeholder expectations. Integrating AI solutions typically requires close collaboration with cross-functional teams, including IT, product managers, and subject matter experts, to ensure seamless deployment and adoption. Additionally, maintaining transparency and explainability of AI models can be crucial for gaining trust from non-technical stakeholders and meeting compliance requirements.

What is the difference between Ai Practitioner vs Data Scientist?

AspectAi PractitionerData Scientist
Required CredentialsCertifications in AI, machine learning, programming skillsStatistics, programming, data analysis certifications
Work EnvironmentDeveloping AI models, implementing algorithms, working with AI toolsAnalyzing data, building predictive models, interpreting data insights
Employer & Industry UsageTech companies, AI startups, R&D departmentsFinance, healthcare, tech firms, research institutions

While both roles involve working with data and algorithms, an Ai Practitioner primarily focuses on developing and deploying AI solutions, whereas a Data Scientist emphasizes analyzing data to extract insights and build predictive models. The roles often overlap but differ in their core focus and skill sets.

How much does an AI practitioner make?

An AI practitioner typically earns between $80,000 and $150,000 annually, depending on experience, education, and location. Professionals with advanced skills in machine learning, deep learning, and data analysis tend to earn higher salaries, especially in tech hubs or industries with high demand for AI expertise.

How to become a certified AI practitioner?

To become a certified AI practitioner, individuals typically complete relevant training programs or courses in artificial intelligence, machine learning, or data science offered by accredited institutions or online platforms. Earning industry-recognized certifications such as those from Microsoft, Google, or the Certified Artificial Intelligence Practitioner (CAIP) program can validate skills and improve job prospects.

Would an AI practitioner certificate be worth it?

An AI practitioner certificate can enhance your credentials and demonstrate knowledge of machine learning, data analysis, and AI tools. It may improve job prospects and salary potential, especially when combined with practical experience and skills in programming languages like Python or frameworks such as TensorFlow.
More about Ai Practitioner jobs

What cities are hiring for Ai Practitioner jobs?

Cities with the most Ai Practitioner job openings:

What states have the most Ai Practitioner jobs?

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

What are popular job titles related to Ai Practitioner jobs?

For Ai Practitioner jobs, the most frequently searched job titles are:

Infographic showing various Ai Practitioner job openings in the United States as of August 2026, with employment types broken down into 76% Full Time, 21% Part Time, and 3% Contract. Highlights an 64% Physical, 4% Hybrid, and 32% Remote job distribution, with an average salary of $41,232 per year, or $19.8 per hour.

AI Practitioner

West Des Moines, IA • On-site

$125 - $150/hr

Other

Posted 10 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.


Full Time Technical Office - Des Moines, IA West Des Moines, IA, US


POSITION PURPOSE

The AI Practitioner is an individual contributor responsible for driving the development, implementation, and optimization of AI-powered solutions across the enterprise. This role will play a key part in identifying opportunities to leverage Artificial Intelligence (AI) and Machine Learning (ML) to enhance operations, improve decision-making, and deliver innovation projects. The AI Practitioner will also support the “care and feeding” of AI systems — maintaining, improving, and monitoring AI tools, agents, and models to ensure ongoing value creation and ethical, responsible use of AI across the organization.


ACCOUNTABILITIES & PERFORMANCE EXPECTATIONS
AI Solution Development & Implementation
  • Design, develop, and deploy AI models, tools, and workflows to address identified business challenges and innovation opportunities.
  • Collaborate with business stakeholders to translate functional requirements into AI-driven solutions.
  • Evaluate and integrate third-party AI tools or APIs (e.g., large language models, predictive analytics, automation platforms).
  • Build and fine-tune AI models to support data analysis, customer insights, operational efficiency, and innovation initiatives.

AI Operations, Maintenance & Optimization
  • Oversee the lifecycle of deployed AI solutions, ensuring consistent performance, accuracy, and compliance.
  • Monitor AI agents, chatbots, and automation tools for output quality, model drift, and user adoption.
  • Conduct regular retraining, tuning, and improvement of AI models and workflows.
  • Implement governance and documentation standards for AI projects to ensure transparency and repeatability.

Cross-Functional Collaboration
  • Partner with data engineers, business analysts, and innovation leaders to identify use cases and prioritize AI opportunities.
  • Serve as an internal AI subject matter expert, advising teams on potential AI use and practical applications.
  • Communicate complex AI concepts to non-technical stakeholders in an accessible way.
  • Participate in project teams and proof-of-concept initiatives exploring new AI technologies or tools.
  • Stay current on emerging AI trends, technologies, and best practices.
  • Experiment with new AI models, frameworks, and methodologies to identify potential business applications.
  • Support internal knowledge-sharing initiatives and contribute to the development of an enterprise AI capability framework.

POSITION REQUIREMENTS
Education
  • Bachelor’s degree in Computer Science, Data Science, Artificial Intelligence, Engineering, or a related field (Master’s preferred but not required).

Experience
  • 2–5 years of experience developing and implementing AI/ML solutions in an applied or enterprise environment.
  • Experience working with machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn) and/or large language models (e.g., OpenAI, Anthropic, Azure OpenAI).
  • Familiarity with AI tools and APIs for automation, NLP, computer vision, or data processing.
  • Understanding of data management principles, prompt engineering, and AI model evaluation.

Skills
  • Strong programming skills (Python, SQL, R, or similar).
  • Ability to manage multiple AI projects with attention to accuracy, performance, and business alignment.
  • Strong problem-solving, analytical thinking, and communication skills.
  • Interest in human-AI collaboration, ethics, and responsible AI development.

Preferred Qualifications
  • Hands-on experience deploying AI models in production environments.
  • Prior experience supporting AI tools or agents used by business teams.
  • Exposure to innovation or digital transformation initiatives within an enterprise.

Key Attributes
  • Curious and continuously learning about emerging AI technologies.
  • Comfortable working in ambiguity and exploring new, unstructured problem areas.
  • Collaborative mindset with the ability to bridge technical and business perspectives.
  • Self-starter who thrives in fast-paced, evolving environments.

To perform this job successfully, an individual must be able to complete each essential duty satisfactorily. The requirements listed above are representative of the knowledge, skill and/or ability required.


ITA Group, Inc. is an Equal Opportunity Employer. In compliance with the Americans with Disabilities Act, the Company will consider reasonable accommodations for qualified individuals with disabilities and encourage prospective employees and incumbents to discuss potential accommodations with the Company.

#J-18808-Ljbffr