Following the rapid tech advancements taking place in almost every domain, organisations are eagerly implementing artificial intelligence to keep up with the changing trends. Perceiving the rapid demand for AI assimilation to strengthen business stances in the market, the demand for candidates proficient in AI has increased manifolds.
While we’re experiencing a rapid influx of job opportunities for AI professionals. this brings us to the question, how do you become an AI architect?
The below-mentioned post is a detailed guide to everything there is to know about the job role of an AI architect, its responsibilities, and the skills required to become one.
So, let’s get started!
What Is An AI Architect?
An AI architect can be defined as a professional who is entrusted with the responsibility of designing and implementing artificial intelligence solutions within an organisation. They play a crucial role in shaping the overall AI strategy and ensuring the successful integration of AI technologies into the already existing systems and processes. Think of them as a bridge between data analysts, programmers and business unit executives.
The average salary of an AI architect in India is estimated to be INR 30.5 lakhs per annum.
Roles and Responsibilities Of AI Architect
The roles and responsibilities of an AI architect may vary depending on the size and type of organisation you are willing to work for. Nonetheless, mentioned below are some of the most basic requirements you are likely to encounter in the job description of an AI architect.
Roles
- As an AI architect, you will be required to work closely with data scientists and engineers to design AI solutions that will address specific business needs or problems.
- Defining the data architecture required to support AI initiatives. This includes identifying data sources, ensuring data quality and integrity, as well as establishing data pipelines, among others.
- Conducting frequent evaluation tests on AI tools and methods
- Identifying and successfully eliminating any potential issue, such as AI model theft or training data contamination.
- Designing APIs and integration patterns ensures seamless AI system integration with the existing infrastructure.
- Understanding business requirements and prioritising AI initiatives based on value and feasibility.
Responsibilities
As an AI architect, you are responsible for designing architecture that syncs with the most advanced AI technologies. You are also required to carefully understand all your customers’ pain points and generate the necessary solution as and when needed. Furthermore, as an AI architect, possessing an in-depth knowledge of AI concepts, algorithms and technologies, as well as expertise in software development and data engineering, is a prerequisite. Adaptability and eagerness to learn more can be the driving factor to your success in the field.
Skills Required To Be An AI Architect
In order to emerge as a successful candidate in your field, you must possess the below-mentioned skills.
Technical Skills
The job role of an AI architect requires some crucial technical skills that every candidate needs to possess. Wondering what those are? Let’s find out.
Data Engineering
A thorough understanding of the various data engineering principles and practices is extremely important. Alongside this, you are also expected to have experience in designing and building data pipelines and data integration.
Artificial Intelligence and Machine Learning
Strong knowledge of AI and Machine Learning concepts, algorithms and techniques is critical to becoming successful in this field. You must also be well-versed with popular machine learning frameworks and libraries, like TensorFlow and PyTorch.
Cloud Computing
You must be familiar with cloud platforms such as AWS, Google Cloud, or Azure. This includes having an in-depth knowledge of cloud-based AI services and infrastructure, including storage and deployment options.
Data Governance and Privacy
Last but definitely not least, you must also be well acquainted with data governance principles and ethical considerations in AI. Alongside this, you are also expected to possess a deep knowledge of privacy-preserving techniques, data anonymisation, and ensuring compliance with relevant regulations.
Soft Skills
Apart from the technical skills mentioned above, you must also be well-adapted to a few crucial soft skills. Such include,
Communication and Collaboration
Since the job role of an AI architect requires you to work closely with data engineers and database administrators, aspirants are required to possess excellent communication skills. You should be able to communicate technical concepts to both technical and non-technical audiences effectively. Furthermore, you must also have a collaborative mindset, as this will facilitate your interaction with cross-functional teams.
Problem-Solving and Critical Thinking
You must possess strong problem-solving skills to understand complex business challenges, identify AI opportunities, and design effective solutions. Additionally, you should also be able to think creatively and apply innovative approaches to problem-solving.
Besides possessing both these technical and soft skills, you must also have a proper educational background. This includes having a Bachelor’s or Master’s degree in computer science, data science, or any other related field. Additionally, if you are applying for a senior position, you should have relevant work experience to become eligible for a reputed post in the AI domain.
Conclusion
To sum up, with the increasing adoption of artificial intelligence and machine learning technologies across various industries such as healthcare, manufacturing, and the military, it can be safe to assume that the job role of an AI architect is in high demand. It offers you a plethora of opportunities to work on cutting-edge technologies, drive innovation and make a significant impact on business outcomes. As the field of AI continues to evolve, the demand for such skilled AI architects is expected to grow further.
On that note, check out Artificial Intelligence and Machine Learning course offered by Eduonix Learning Solutions. It is specifically designed for beginners who wish to embark on the journey of becoming an AI-ML expert. From an all-inclusive curriculum to real-time project building and quizzes, it provides numerous benefits to its candidates.
