AI Practitioner

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.

• 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.

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 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.

Mid-Senior level

Full-time

Information Technology

Business Consulting and Services

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