Technical leadership as the multiplier for AI adoption

Committing to an AI strategy is the easy part. Getting thousands of people to work differently is where many organizations stall. That space between strategy and practice is where competitive advantage is won or lost.

What's one way to close that gap? Position your most respected technologists as visible amplifiers of how work changes. This includes the people who have spent years solving difficult technical problems: the engineers others look to when systems break, priorities shift, or new technologies emerge faster than operating models can adapt.

At Unisys, we rely on our Distinguished Engineers to help forge these paths to the future. We've positioned them to carry expertise and operational thinking across the business for years. The acceleration in AI has made that role more critical than ever.

From individual contribution to organizational influence

Here’s a familiar story. A technical team solves a difficult problem. On the surface, the implementation performs as intended. The project succeeds. But the impact stays contained within a team, a workflow, or a single initiative. The broader organization continues operating the same way it did before. More importantly, the lessons that shape technical expertise — overcoming tough challenges, resolving unexpected results, clearing roadblocks, and squashing bugs — get left off the page and never reach the teams that need them most. Individual contributions, on their own, don't scale into enterprise impact. Organizations need to consider how expertise carries across teams or shapes future decision-making. We deploy Distinguished Engineers to carry these lessons, experiences, and operational discipline across our company.

In an AI-First environment, their impact carries unprecedented weight. When problem-solving cycles compress from weeks to days – sometimes even minutes – their experiences help teams execute together while the pace of iteration accelerates around them.

Why AI changes the operating model

One of our engineering teams recently used AI to compress a solution design cycle that would have taken a week of cross-functional review into a few hours of rapid iteration. The output was stronger. The alignment was faster. And the approach spread to adjacent teams within days because a Distinguished Engineer showed others how to replicate it.

AI gives you the speed. Your most credible technical leaders help give you the reach. Presentations and mandates alone won't encourage that kind of adoption. It takes people others already trust, demonstrating what better looks like in practice. And it takes a culture that encourages curiosity, learning, and experimentation.

What Distinguished Engineers bring to this moment

Distinguished Engineers are Unisys’ most senior technical practitioners. They are recognized within their domains, embedded within teams and business units, and close to the operational realities that determine whether a new, different, or unique approach succeeds or fails. But the role is built around a broader idea: Expertise creates enterprise value when it travels beyond the person who holds it.

In this AI moment, we’ve deliberately expanded the tools that our Distinguished Engineers have access to. While most of our engineering population works with a series of approved AI tools, Distinguished Engineers have access to the broadest set. Experimentation has always been a part of the role, but now throughput for experiments is increasing exponentially thanks to these tools. The faster they become proficient with different tools and approaches, the faster that capability reaches the rest of the organization. And when they combine the state-of-the-art tooling with their deep expertise in industry, technology, and our solutions, the results are tangible for us and our clients.

What this means for your organization

If your most experienced technologists are still measured primarily on what they build rather than on how they help others build, that’s worth examining. AI capabilities are advancing at a pace no single team can absorb. The organizations that pull ahead will be the ones that deliberately turn their best technical minds toward the people around them.

That means giving them room to experiment. Broad access to tools. Opportunities to mentor and demonstrate. And the organizational signal that spreading capability matters as much as building it.

Building AI momentum together

At Unisys, the Distinguished Engineer program is one part of a broader ecosystem that includes tool-specific communities, specialized AI roles, and foundational enablement available to every associate. Each layer reinforces the others. And the Distinguished Engineers give us amplification and reach.

AI is accelerating how quickly organizations can learn, iterate, and execute. The organizations building real momentum have one thing in common: They’ve positioned their most experienced technologists as visible, trusted catalysts for a different way of working. When transformation is led by people with operational credibility, it sticks and it scales.

To learn more about how Unisys helps organizations develop technical and AI capabilities that drive measurable business outcomes, visit unisys.com/solutions/artificial-intelligence.