AI Practitioner

ITA Group•West Des Moines, IA

27d

About The Position

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.

Requirements

Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, Engineering, or a related field (Master's preferred but not required).
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.
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.

Nice To Haves

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.

Responsibilities

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.
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.
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.