AI Practitioner

ITA Group, Inc.; West Des Moines (IA); On-site; USD 90,000 - 120,000; Full time

Job summary

A leading business consulting firm is seeking a Mid-Senior level AI Practitioner to drive the development, implementation, and optimization of AI-powered solutions. In this role, you'll collaborate with various stakeholders to translate requirements into AI-driven solutions, oversee deployed AI tools, and stay current on AI trends. This position requires a Bachelor's degree in a relevant field, 2–5 years of experience in AI/ML, solid programming skills, and a collaborative, innovative mindset. Full-time position based in West Des Moines, Iowa.

Qualifications

• 2–5 years of experience developing and implementing AI/ML solutions.
• Experience with machine learning frameworks and/or large language models.
• Familiarity with AI tools and APIs for automation, NLP, or data processing.
• Understanding of data management principles and AI model evaluation.

Responsibilities

• Design, develop, and deploy AI models, tools, and workflows.
• Oversee the lifecycle of deployed AI solutions.
• Partner with data engineers and business analysts to identify use cases.
• Communicate complex AI concepts to non-technical stakeholders.

Skills

Strong programming skills (Python, SQL, R, or similar)

Analytical thinking

Strong problem-solving skills

Communication skills

Education

Bachelor’s degree in Computer Science, Data Science, Artificial Intelligence, Engineering, or related field

Master’s degree (preferred)

Tools

TensorFlow

PyTorch

scikit-learn

OpenAI

Azure OpenAI

Job description

Direct message the job poster from ITA Group, Inc.

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.

Key Responsibilities

• 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.

Qualifications

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.

Seniority Level

Mid-Senior level

Employment Type

Full-time

Job Function

Information Technology

Industry

Business Consulting and Services

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