10 new jobs created by generative AI

AI is not entirely new, but the rise of Generative AI has created an additional boost in AI adoption and the growth of new AI-related roles.

These are the roles you need to be aware of both, as a business leader to hire them, and as an employee to consider taking one of them.

AI Engineer (AI Orchestrator)

Role: Integrate and maintain AI solutions and AI-automated workflows.

Skills required: Production-level knowledge of machine learning and generative AI models, data engineering, IT infrastructure.

AI Prompt Engineer

Role: Craft precise instructions for AI tools and AI-automated workflows.

Skills required: Generative AI proficiency, prompt engineering experience, communication skills, data preparation skills.

AI Trainer

Role: Teach and train the next generation of AI professionals.

Skills required: Generative AI proficiency and tools knowledge, developing curricula, educational skills.

AI Product Manager

Role: Develop new AI-powered products and integrate AI capabilities into product features.

Skills required: Generative AI proficiency, product management.

AI Business Analyst

Role: Identify business improvement opportunities with AI and define AI-powered business workflows.

Skills required: Generative AI proficiency, business analysis, business process mapping.

AI Content Creator

Role: Leverage AI tools to generate content like writing, images, music, and video.

Skills required: Generative AI proficiency, prompt engineering, AI tool experience, content creation experience.

AI Content Reviewer

Role: Ensure AI systems generate valid outputs.

Skills required: Generative AI proficiency, domain knowledge.

AI Security Expert

Role: Detect and respond to AI-related cybersecurity threats, ensuring the security of confidential data.

Skills required: Proficiency in AI, generative AI, machine learning, and cybersecurity.

AI Ethics and Compliance Officer

Role: Ensure AI systems are developed and used responsibly, addressing concerns like data privacy, transparency, bias, and fairness.

Skills required: Proficiency in AI, generative AI, machine learning, and legal and regulatory knowledge.

Chief AI Officer

Role: Drive AI adoption and empowerment according to business goals and AI-related opportunities.

Skills required: Proficiency in AI, generative AI, machine learning, leadership, and change management skills.

Conclusion

AI will change our jobs massively. It will make some tasks obsolete and introduce new tasks, which creates new AI-specific roles.

Besides these AI-specific roles, almost every job will be enhanced and impacted by AI. This is why it is crucial for everyone to learn how to improve their daily tasks with AI.