How AI is changing the game for Solution Architects
If you’re working within the technology space you have probably heard it a million times .. “AI is everywhere”. It isn’t just hype – it is part of the new world and it is transforming industries left and right, including Solution Architecture.
Gone are the days where Solution Architects only needed to learn about designing systems and making sure everything runs smoothly. Now, with AI in the mix, the role is evolving and it’s happening fast.
So, what’s changing? In this blog I will break down how Artificial Intelligence is reshaping the day-to-day role of a Solution Architect and what you need to know to keep up.
Problem Solving vs Problem Predicting
Traditionally, Solution Architects have to act as the go-to people to solve complex technical problems, with AI it is not just about solving problems anymore; it’s about predicting them before they even happen.
AI tools can be used to analyse large data sets to spot potential issues and bottlenecks within systems early.
As a result Solution Architects are moving into more proactive roles; they need to think ahead, anticipate challenges and design solutions that are efficient today but future-proof for tomorrow.
Designing Smarter Systems
With AI technologies, there has been an industry wide shift towards creating systems and applications that can adapt on their own.
Solution Architects are now expected to build solutions that can leverage AI and Machine Learning – meaning that they will improve overtime.
Think – systems that can automatically optimise processes and recommend solutions.
This means Architects need to understand how to integrate AI components like natural language processing (NLP) or computer vision into their designs.
Data Solutions
Artificial Intelligence, thrives on data and Solution Architects are having to play a bigger role in managing and leveraging relevant data.
It isn’t just about designing systems, applications or infrastructure anymore; it is about understanding data flows, ensuring data quality and knowing how to use that data to train AI models.
You’ll need to get comfortable with data science basics; like understanding how data is collected, cleaned and used to power AI.
Embracing New Tools and Platforms
AI is bring a whole new set of tools/ platforms into a Solution Architects technology stack. To remain up to date SAs need to be familiar with them.
From cloud-based AI services like AWS Sage Maker or Azure Cognitive Services to open-source Machine Learning libraries like TensorFlow or PyTorch - there’s a lot to get your head around.
It isn’t just about knowing the individual tools though, it is about knowing how and when to use them effectively within your architecture designs.
Collaboration Is Key
As AI continues to develop and systems become more complex, Solution Architects are finding that they are working in more cross functional teams.
Working with Data Scientists, Data Engineers and Business Architects are going to be the new norm.
You’re no longer going to just be the “tech person” who figures out the backend .. you’re part of a broader team working together to build intelligent, integrated solutions that deliver real value to the business.
Security Gets Even More Complicated
Security has always been an aspect of a Solution Architects role but with AI it is going to get even more complicated.
AI systems can be vulnerable to new types of threats including; data poisoning or adversarial attacks, where malicious attacks try to manipulate AI models.
You will need to understand these new risks and build security into initial designs.
This means ensuring you remain up to date with the latest in AI security practices and being ready to pivot as new threats emerge.
Lifelong Learning is a Must
We have seen how quickly the AI world has developed, the skills that you have today need to match the evolution of this space. Staying relevant means constantly learning.
Taking courses, attending webinars, or reading up on the latest AI advancements, are all examples of how you can keep your skills updated.
There’s always something new to learn, and if you love technology, this can be one of the most exciting parts of the job!
Conclusion
There is no denial that AI is changing the game for Solution Architects, adding new layers of complexity but also opening up a world of possibilities. It's no longer just about designing great systems; it's about thinking ahead, using data smartly, and adapting to an ever-changing technology world.
It is a great opportunity for Architects to develop their skillset, holistic approach and drive their career forward.
