The AI age is creating some Exciting new job roles for individuals interested in technology, but don’t overlook those tried-and-true coding and integration skills. Rather, AI can make what are considered “traditional” technological activities move faster and more efficiently.
Of course, AI is at the core of many growing technology roles.
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“Currently, we are seeing high demand for AI-focused roles,” says Yusuf Tayob, corporate chief executive officer of Accenture Operations. That creates a need for ongoing training both inside and outside the IT department, he said. “For example, at Accenture, to date, 600,000 of our people have been trained in AI fundamentals, and we’re also training people how to work effectively with AI-integrated processes and use AI in a fair and unbiased manner.”
Industry leaders recommend familiarizing yourself with the many opportunities working with AI has to offer. “This is a great time to gain skills that help companies make decisions about how to integrate and apply AI and how to make it sustainable,” he said. Gill Haus, chief information officer at JPMorgan Chase. “We will see an increase in AI, ML and general AI jobs, but we will also see AI making existing roles more efficient and productive by eliminating tasks How boring.”
Along with the promotion of existing tasks and roles, new types of jobs are emerging. Brian Lanehart, president, CTO and co-founder at Momnt. “It all tends to be related to data, data discovery and data analysis. I think we will see more job titles emphasizing data-centric roles, looking for employees who are proficient in the latest AI tools and technologies. For example, maybe there’s someone on the product team who understands ChatGPT for a more efficient user interface.”
“People in the field must feel comfortable using Copilot to code faster and more efficiently,” Lanehart added. “In the future, there are other tools coming out that will enable the architecture Solution engineers describe problems — or even ideas about how to solve a problem.” problem — to the AI platform and it will create a deployable and dynamically scalable scheme.”
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It’s not just the ability to build AI applications, but also use AI-based tools to execute and deliver your work.
“We look for engineers who are using AI in their day-to-day roles and can effectively use those tools to improve the quality or efficiency of their team,” Lanehart said. “That deep understanding and usability is what will differentiate mid-level engineers from more senior roles.”
However, employers are looking beyond the strong tech skills of the past. “The modern skill set we’re recruiting for is a lot different than what we ever wanted,” Lanehart said.
In the past, the criteria for tech hiring was, “Can the person code in Python? Can they validate their code? Can they get their code?” Lanehart recounted. “Today, we want to see if they can use a Copilot-style tool to improve code or codes faster and more efficiently. We want teams to use AI tools to help create more cases different testing. We want quality assurance engineers to use AI for more thorough evaluation.”
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The combination of basic business and technology skills is important to employers. “Don’t overlook coding, mobile, digital, backend, machine learning skills — they will all continue to be in demand,” said JPMorgan Chase’s Haus. Additionally, skills in demand include “data, cloud computing, software engineering, customer experience, digital design, and product management. AI and AI generation will require many than those skills.”
Working in the AI era also requires tested career and business skills, such as “curiosity, collaboration, and a focus on solving customer problems,” Haus continued. Chase’s approach, he added, is to “hire technologists with experience in software engineering.
But you don’t need a four-year computer science degree to get a software engineering job at Chase. “We value a variety of skills, including determination, resilience and adaptability. We honor past experiences that expand our team’s capabilities,” said Haus. me in creating solutions that meet our customers’ unique needs.”
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The important thing is that AI alone cannot provide solutions — that’s up to the person using the AI. “Completely communicating the entire application requirements to something like ChatGPT generates all the code that requires a level of understanding of the tool and its functionality,” Lanehart said. “That can only be achieved by fully embracing and becoming familiar with technology to learn and apply it to the business.”
JPMorgan Chase addressed some of these new requirements through two events. This includes DEVUP, a conference for engineers, “all about cross-functionality, ideas, and knowledge sharing,” Haus said. The second event, AI Summit “brings together employees to discuss new research and AI and ML use cases that are driving innovation across the company.”
