I’m a KPMG forward-deployed engineer. AI has moved my job beyond writing code.
Justin Johnsen, now a forward deployed engineer at KPMG, has been at the firm for six years. He says a lot has changed in the past year.
KPMG employee Justin Johnsen has been an FDE (forward-deployed engineer) for more than a year. After starting as a Salesforce developer in 2020, he transitioned to a role focusing on AI applications. His responsibilities include providing context for AI systems and coaching clients on their utilization. This is an interview with Justin Johnsen, the lead technical architect at KPMG.
Over the past year, his work has shifted from manually coding to gathering data, interpreting it using AI, and integrating systems that are otherwise incompatible. A significant aspect of his job is to ensure clients understand the AI context, and then help them seamlessly incorporate AI into their existing software applications.
By working directly with clients and staying on-site, Johnsen can offer real-time training and knowledge transfer. This approach fosters transparency and a more collaborative relationship between the team and clients. One notable example is a recent risk scoring application, where AI was used to analyze various risk factors and generate a score that can be used by independent reviewers in their evaluations.
As AI becomes increasingly capable, it is more valuable when it has a clear context and purpose. For Johnsen, AI acts as an extension of his own capabilities, allowing him to multiply his output, maintain context across multiple projects, and focus on the more challenging and creative aspects of his job.
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