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Cloud & Infrastructure
The New Stack·Sep 10·5 min read
47,000 job listings reveal the engineering roles that AI is creating
TL;DR
An analysis of 47,000 engineering job postings reveals that AI is creating new roles by merging existing skill sets, with over 2,000 skills identified across 23 job titles. Companies are adapting their job descriptions to meet the evolving demands of AI integration in software development.
✦ Why It Matters
Revise your job descriptions to reflect the evolving skill sets required for AI roles today.
Key Takeaways
- Focus on specialized skills rather than generalist roles in job descriptions.
- Consider new job titles that reflect the integration of AI in engineering.
- Highlight essential qualifications and desired outcomes in job postings.
- Encourage collaboration and product focus in engineering roles.
Full Summary
A study by Andela analyzed 47,000 engineering job postings from Fortune 500 companies, identifying over 2,000 skills across 23 new job titles related to AI and machine learning (ML). Notably, 53% of AI or ML engineer postings required skills from multiple established roles, indicating a trend towards specialization.
The top emerging roles include MLOps pipeline engineer, LLM application engineer, and FinOps reliability engineer, each combining skills from various existing positions. This shift suggests that companies are rethinking job descriptions to better align with AI's capabilities, emphasizing the importance of specific skill sets.
As AI continues to evolve, organizations must adapt their hiring practices to attract the right talent for these specialized roles.