AI Practitioner

Ita-Group-Inc; West Des Moines (IA); On-site; USD 110,000 - 150,000; Full time

Job summary

ITA Group, Inc. is seeking an AI Practitioner to drive AI/ML solution development and deployment across the enterprise. You will collaborate with business teams to translate needs into AI-driven workflows, deploy models, and ensure ongoing value through monitoring and retraining.

You will work on governance, ethics, and responsible use while maintaining AI systems and guiding innovation initiatives in a dynamic enterprise setting.

Qualifications

• Bachelor's degree in Computer Science, Data Science, AI, Engineering, or related field (Master’s preferred but not required).
• 2–5 years of experience developing and implementing AI/ML solutions in enterprise environments.
• Experience with ML frameworks and large language models; familiarity with AI tools for automation and NLP.

Responsibilities

• Design, develop, and deploy AI models, tools, and workflows to address business challenges and opportunities.
• Collaborate with stakeholders to translate requirements into AI-driven solutions.
• Evaluate third-party AI tools or APIs and integrate them into existing systems.
• Monitor and retrain AI models and workflows for performance, drift, and compliance.

Skills

Python

SQL

R

Machine Learning

Prompt engineering

Data analysis

Communication

Education

Bachelor's degree in CS/DS/AI/Engineering

Tools

TensorFlow

PyTorch

scikit-learn

Azure OpenAI

OpenAI API

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.