Ai mastermind would come one of the hottest jobs of the time and,
It seems the demand isn't decelerating down.
Ai architecture is based on the idea to deal with complexities in analytics and ai.
An ai architect would be expected to deliver tangible solutions for the clients.
Their work as well as being capable of creating and maintaining architecture using leading ai technology frameworks.
We will have a look at
Why become an ai architect.
Who is an ai architect.
Ai architect skills, and
How to become an ai architect.
01 -Why Become An Ai Architect?
Now the answer may lie in the job opportunity.
Ar architect has a booming job market and this number speak for it.
for example in india you have more than 1600 weekend jobs for ai architect,
while in the u.s you have more than 1400 vacant jobs for the same,
this is based on the data available from glasto.
Now in the silicon valley of india that is bangalore around thousand vacant jobs for ai architect.
while in the silicon valley of the world.
That is california there are more than 300 vacant jobs for ai architect this again is based on data available on glassdoor
As Ai is a technology of the future and is set to replace in almost all the organizations in the near future the demand for an ai architect is just set increase.
The average salaries of an ai architect.
India the average salary of an ai architect is around rupees 37 lakh per year.
while in the u.s the average salary of an ai architect is around 100 dollars per year.
This again is based on the data available on glassdoor.
That's a very good salary and a very good reason to become an ai architect.
As
They said to replace almost all the technologies in every domain all organizations in the near future will be
hiring ai architect
Some of the biggest organizations around the world are currently hiring ai architects which include
Flipkart
Intel
Ibm
Condo end
Phillips
Indigo
Airlines
Simons
Nokia
Deloitte and
many more now
2- Who is an Ai Architect
The ai architect is like the chief data scientist planning the implementation of solutions using the right technologies and evaluating the evolution of the architecture as the client's needs change.
Ai engineers must dissect data to inform their opinions to be suitable to rightly do this,
they need to have a deep understanding of ai operations as well as the specific structure they are working with specific infrastructure they're working with.
Roles and responsibilities of an ai architect
An ai architect may need to research and develop machine learning models for security problems.
The areas of networking application and data,
May suggest collect and synthesize requirements and create effective features.
We will also apply research methodologies to identify the machine learning models for problem at hand,
he may also provide architectural and tech leadership in the machine learning team.
3- The Ai Architect Skills
Let us have a look at the examples of the job vacancy of ai architect and what skills they are looking for,
The ai architect position at mastercard requires the skills like
artificial intelligence
artificial neural network
blockchain and
deep learning
While the ai architect position at badvani ai requires skills like ai and ml again.
As well as written and verbal communication chops.
While a similar position and builder ai requires coding experience in
Java
Python
Node.js
Bash and
such languages communication presentation and writing skills.
cloud that is
Aws or
Azure and
Aws and
Azure certifications.
so from these examples we learn that the knowledge of ai and ml and deep learning are some of the common skills required across all such positions.
while communication and writing as well as speaking are some added qualities.
some of the mandatory skills for an ai architect include
Problem solving skills
Statistical analysis
Machine learning
Knowledge of programming languages
as well as communication skills
4 - How To Become An Ai Architect
Now let's discuss the roadmap to becoming an ai architect.
The first step would be to earn a master's degree in a related field.
The next step is to gain expertise in programming languages.
you will need to gain relevant work experience of at least 5 to 10 years.
and then you should also gain experience in implementing machine learning solutions development in multiple languages and statistical analysis.