Who's an AI Architect?
Information technology and data science are now integral functions in all organisations. AI architects deal with information and provide AI-powered solutions to support an organisation’s current and future needs.
The AI architect’s role is similar to that of a chief data scientist. In this field, you are required to work with various types of technologies, choose the right one to achieve solutions to the organisation’s problems, and implement those solutions, thus building an architecture that can work in the present and be adapted for future use.
What will you do?
Where will you work?
How do you get there?
What skills would you need?
Technical Skills
You will be frequently using accounting software and other financial tools as many CAs need to work with technology to analyse data and prepare financial reports. build this skill
Critical thinking
Marketing strategies involve a lot of trial and error. You will come up with a lot of ideas that sound great on paper. When you analyse them, you might learn that they can’t be executed as per the budget. You should be able to look at an idea practically and see if it will serve its purpose.
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Communication Skills
Communication and interpersonal skills are very important while dealing with patients. You will have to guide certain people about a procedure or treatment. You may need to provide them with some serious information about their fertility and treatment progress. Hence these issues would need to be handled sensitively.
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Problem-solving Skills
Patients will be coming to you with different issues with fertility. You must be able to assess their problem, analyse the reason and work on coming up with a solution.
build this skillHow do you make it to the top ranks?
Pursuing your career locally VS abroad
A career in AI requires exceptional knowledge of mathematics, physics, computer science, engineering, as well as specialised skills in machine learning and NLP. While you pursue a graduation in any of these subjects, it is important to enrol for external courses that teach you more about AI and machine learning. Most graduation courses in B.Sc. are for three years while B.E. or B. Tech. courses go on for a duration of four years, with course fees ranging from INR 50000 per year to 5 lakhs, depending on your course and college. Since the role of an AI architect is a top-level job, it is also important you pursue a Master’s degree in your subject that goes on for another three-four years, costing an additional fee of up to INR 5 lakhs. Some professionals also choose to pursue a Ph.D. for a higher salary, with course fees starting from INR 10,000 to 3 lakhs. Getting into the field of AI takes another four-five years of working experience, so you can presume that you will reach your goal of becoming an AI architect way into your thirties.
There are lucrative career opportunities in AI and machine learning abroad. AI architects command a high salary that can go well above $100,000. However, becoming an AI architect takes over 10 years of work experience in AI. Professionals in this role have a minimum of a Master’s degree in data science with focus on big data and analytics, or computer science with advanced knowledge of programming languages like Python, or mathematics with focus on statistics, probability, logic, calculus, and algorithms. Alternatively, you can also opt for a degree in physics, engineering, or robotics and upskill to AI. Online channels like Udacity offer courses in artificial intelligence and deep learning while Coursera provides courses in machine learning. These courses are conducted for three to four months, with fees that range from INR 20000 to INR 25000 per month. Additionally, you can improve your resume working with open-source AI research groups that are available on GitHub or participate in Google’s data community called Kaggle.
How much would you get paid?
Your salary in AI will depend on your role and the variations of your tasks. In the last few years, careers in this field have peaked due to the growing demand for AI and the digitisation automation of most industries. The need for AI skills have doubled and job postings have also increased.
What are your career options?
AI Programmer
AI programmers build operating software that can be used in artificial intelligence programmes or applications. They work closely with data science teams, automating the infrastructure used by them as well as converting machine learning models into APIs so that other applications can access them.
Data Scientist
Data scientists collect, clean, analyse, and interpret large and complex datasets to derive business insights. They work closely with AI professionals to leverage machine learning and predictive analytics for their analysis.
Machine Learning Engineer
Machine learning engineers feed the data defined by data scientists into predictive models. Like AI scientists and architects, they work with vast knowledge and understanding of machine learning algorithms, deep learning algorithms, and deep learning frameworks.
Business Intelligence Developer
Like AI architects, these professionals are also responsible for research and providing solutions for the organisation or client’s problems. For this, they design, model, and analyse large amounts of complex data to identify business and market trends, and derive insightful solutions.
You’ve only scratched the surface.
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