The Rise of the AI Engineer
The AI revolution is transforming the tech world in ways both big and small. In addition to rewriting the data stack, AI is also changing the jobs that people do, with the emergence of a new role: the AI engineer.
What is an AI Engineer?
At first glance, you might think that an AI engineer is someone who builds AI applications. That’s partly true, but it’s not the whole story. An AI engineer is someone who uses AI tools to create applications. As Coursera describes it, "AI engineers are specialized professionals who use their knowledge of artificial intelligence and machine learning to develop computer applications and systems."
The Job of an AI Engineer
AI engineers may work with generative AI tools and technologies, such as large language models (LLMs), other types of foundation models, vector databases, and prompting frameworks. They may be called upon to train a custom neural network from scratch, but most of the time, they’re using a pre-trained model. They also need to know how to assess the quality of data used in an AI application and how to access that data in real-time to deliver an AI-powered outcome through whatever application they’re developing.
The AI Engineer’s Toolkit
AI engineers require expertise in software development, programming, data science, and data engineering. They need to be familiar with tools like prompt engineering, retrieval-augmented generation (RAG), and fine-tuning to adapt foundation models to their needs. They also need to understand how to use pre-trained models and how to assess the quality of data used in AI applications.
The Demand for AI Engineers
The demand for AI engineers is surging, with a 23% growth expected by the end of the decade, exceeding demand for data scientists. The US Bureau of Labor Statistics reports that demand for AI engineers will exceed demand for data scientists. A Gartner survey found that 56% of UK and US respondents listed AI and ML engineers as the most in-demand role for 2024.
The Pros and Cons of Being an AI Engineer
The field of AI is changing quickly, and that’s impacting what skills you need to take advantage of AI advances. AI copilots are already changing how software developers write applications, and the fields of data engineering, data management, and even data governance are also being impacted by AI. However, AI engineers will play a large role in building and controlling AI agents that companies are developing to automate decision-making.
Conclusion
The rise of the AI engineer is a new and exciting development in the tech world. As the field continues to evolve, it’s clear that AI engineers will play a critical role in building and controlling AI agents that will automate decision-making. With their unique combination of skills in software engineering, data science, and AI/machine learning, AI engineers will be in high demand. As the job market continues to shift, it’s essential to remain flexible and open to learning, as the landscape is evolving rapidly.
Frequently Asked Questions
Q: What is an AI engineer?
A: An AI engineer is someone who uses AI tools to create applications.
Q: What skills do AI engineers need?
A: AI engineers need expertise in software development, programming, data science, and data engineering.
Q: What is the demand for AI engineers?
A: The demand for AI engineers is surging, with a 23% growth expected by the end of the decade.
Q: What are the pros and cons of being an AI engineer?
A: The pros of being an AI engineer include being in high demand, with excellent pay and opportunities for growth. The cons include the need to constantly learn and adapt to the rapidly changing landscape.
Q: What are the top-paying AI jobs?
A: The top-paying AI jobs include AI engineer, data scientist, and machine learning engineer, with median salaries ranging from $161,000 to $267,000 per year.
