AI Line Zones
The AI line represents the progression of roles involved in developing intelligent systems, from foundational understanding of data and algorithms to leading advanced AI strategy and innovation.
It illustrates how a career develops over time, beginning with core concepts, advancing into specialised expertise in machine learning and applied AI, and eventually moving into leadership and strategic decision-making.
As experience grows, there are also opportunities to specialise or transition into related fields, showing that careers in AI are not only progressive but also highly flexible and interconnected.
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AI Intern:
Introduces the fundamentals of artificial intelligence through hands-on support and learning. This role focuses on understanding data, basic models, and how AI is applied in real-world environments.
Junior AI Developer:
Begins building simple AI-driven features using programming and data. Works with guidance to apply models and understand how intelligent systems function in practice.
→ Connects to the Software Development line, as coding skills are essential for building and implementing AI systems. -
Applied AI Engineer:
Focuses on using AI to solve real-world problems across industries. This role involves implementing models into practical applications and bridging the gap between theory and use.
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Machine Learning Engineer:
Develops and optimises machine learning models at a deeper technical level. Works on training, testing, and improving systems that can learn and make predictions from data.
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Head of AI:
Leads AI teams and oversees the development and implementation of AI solutions. Responsible for driving innovation and ensuring AI aligns with organisational goals.
Chief of AI Officer:
Sets the overall AI strategy at an organisational level. Focuses on long-term vision, ethical use, and integrating AI across all areas of the business.
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Data Scientist:
Uses data analysis, modelling, and machine learning to extract insights and inform decisions. This role connects AI with the Data line, as both fields rely heavily on data-driven approaches.
→ Connects to the Data line, where AI and data science overlap in analysing data and building predictive models.
How can we help you get into the
AI Industry?
CherryTree supports individuals in entering the AI pathway by helping them build the core skills needed to access entry-level roles such as AI Intern or Junior AI Developer, even without prior experience.
We focus on developing problem-solving ability, data awareness, and an understanding of how AI systems and models are applied in real-world contexts, so learners are prepared for the expectations of the industry.
As individuals progress, we guide them in applying these skills to secure their first role, while also helping them understand how to move forward along the pathway into more advanced, specialised, or leadership positions within AI over time.
Explore our Services page to learn how we can support your journey.
