Why Are AI Roles Becoming More Diverse?
Artificial Intelligence (AI) is no longer just an enabling technology—it is now the backbone of digital transformation. According to a McKinsey report, 63% of global companies have adopted AI to improve operational efficiency. However, the complexity of AI implementation has created a need for specific new roles. Here is a list of key roles that are on the rise:
List of Most Wanted AI Roles in 2024
1. AI Architect
Responsible for designing scalable AI infrastructure, from model to deployment.
- Subrole :
- Model/ML Engineer (Ops)
- End-to-End Engineer
2. AI Product Manager
Oversee the life cycle of AI-based products, from research to launch.
3. AI Risk and Governance Specialist
Ensuring ethics, regulatory compliance (such as GDPR), and risk mitigation in AI projects.
4. Prompt Engineer
Expert in designing instructions (prompts) for generative models like ChatGPT to produce accurate output.
5. Data Engineer & Analytics Engineer
Building data pipelines and optimizing analytical flows for ML needs.
6. UI/UX Designer for AI
Design intuitive interfaces for AI applications, such as chatbots or predictive analytics tools.
7. AI Translator
Bridging communication between technical (data scientists) and non-technical (business) teams.
Skills Needed for a Career in AI
- Technical :
- Python/R programming, ML frameworks (TensorFlow, PyTorch).
- Data management (SQL, BigQuery).
- Non-Technical :
- Business acumen.
- Inter-team communication skills.
Challenges in Recruiting AI Talent
- Skill Gap : 58% of companies struggle to find candidates with mature AI skills (Source: LinkedIn).
- Regulation : The need for governance specialists to ensure AI is transparent and fair.
The Future of Careers in AI
From prompt engineer to AI ethicist, the diversification of AI roles opens up huge opportunities for professionals from various backgrounds. To stay competitive, start by mastering basic technical skills and expanding your network in AI communities such as Kaggle or AI Indonesia.
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