1. AI Marketing
As much as it is important to build AI solutions, it is equally important to build a brand value around these technologies. Companies need people with expertise in marketing who can understand their product/services and help them create market value.
2. AI Sales
The value of AI products is realized when they are put to use in real-world use cases, and that’s where companies need people with expertise in sales who could connect with the right business opportunities and make the deal happen. People in sales need to match the business requirement with the right product/services to help the company drive its revenue.
3. AI Psychology
The products being built with AI technology ultimately needs to be used by humans, and that’s when it is important to know whose hands it reaches and how it is being perceived. When these technologies are built, it is important to see that it caters to everyone, people from all gender, caste, race or even people with disabilities. AI is for all and that’s where we need people with expertise in human behavior to help build these solutions which can cater to everyone.
4. AI Research
The most amazing AI tech is built on top of state-of-the-art models which come out of years of research. NLP models like BERT or image models like DALL-E are the results of years of effort from the people who have been researching to build optimized models. Organizations have research departments where they hire researchers to focus on building the most foundational build blocks of the AI products.
5. AI Consulting/ Program Manager
Companies that are in the B2B model for building AI products and services need people with expertise in client engagements, consulting, managerial abilities, and communication skills to work with top-clients on a daily basis. They work with the clients to understand their business challenges, build an AI use-case, layout a project roadmap, and connect with the Data Scientists to build these solutions and communicate the business value.