Future of AI-powered engineering teams.

The advent of AI is likely to significantly reshape engineering teams in the future. Traditional roles like product owners, developer, tester, DevOps engineers, scrum masters is going to evolve to new job descriptions. The staff composition mix in large digital and data organization will vary a great vary a great deal.

New roles

1. AI integration specialists: Engineers who specialize in incorporating AI tools into existing systems and workflows.

2. Prompt engineers: Experts in crafting effective prompts to guide AI systems for optimal results.

3. AI-human collaboration managers: Professionals who oversee and optimize the interaction between human engineers and AI systems.

4. Data quality experts: Engineers focused on ensuring high-quality data for training and maintaining AI models.

5. Ethical AI supervisors: Specialists who ensure AI systems are developed and deployed ethically.

6. AI performance optimizers: Engineers who fine-tune AI models for efficiency and accuracy.

7. Domain-specific AI trainers: Experts who customize general AI models for specific engineering fields.

8. Human-centric designers: Engineers who focus on creating interfaces and systems that facilitate smooth human-AI interaction.

9. AI security specialists: Professionals dedicated to protecting AI systems from vulnerabilities and attacks.

10. Interdisciplinary teams: More diverse teams combining traditional engineering skills with AI, data science, and ethics expertise.

what should I do to stay relevant and grow ?

• Focus on soft skills This shift will likely lead to a greater emphasis on soft skills like critical thinking, creativity, and adaptability alongside technical proficiency.

• upskill to AI technologies - Engineers will need to continuously upskill to keep pace with rapidly evolving AI technologies.