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AI Practitioner

Job in West Des Moines, Polk County, Iowa, 50265, USA
Listing for: Ita-Group-Inc
Full Time position
Listed on 2026-10-05
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), Machine Learning/ ML Engineer, AI Business & Operations, Data Scientist
Salary/Wage Range or Industry Benchmark: 110000 - 150000 USD Yearly USD 110000.00 150000.00 YEAR
Job Description & How to Apply Below

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., Tensor Flow, 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…
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