Arpit Tripathi

“You don't need technical knowledge to create an agent. That's the best part.”

Arpit Tripathi earned his degree in Computer Science, and he still builds solutions that run in production. The difference is that today, those solutions are not software applications. They are AI-powered agents that screen resumes, identify inconsistencies, personalize candidate engagement, and streamline recruiter workflows across Ascendion's global talent acquisition organization.

As Director of Talent Acquisition and leader of the company's AI Steering Committee for Talent Acquisition, Tripathi operates at the intersection of technology and recruiting. While many professionals move from technical careers into people-focused roles, few have spent more than a decade demonstrating how naturally the two disciplines complement one another. For Tripathi, recruiting and technology were never separate paths. They were always part of the same journey.

The expected path after graduation was clear: software development.

With a computer science degree in hand, Tripathi had every reason to pursue a traditional engineering career. Then a staffing company visited his campus. Curious, he took time to understand the industry, its purpose, and its potential impact. What began as a moment of exploration soon became a defining decision.

"Instead of taking the traditional software engineering route, let me try this," he recalls. "Let's see where it goes."

It turned out to be the right choice.

Joining Collabera early in his career, Tripathi quickly distinguished himself through his ability to navigate highly technical hiring challenges. He gravitated toward networking, infrastructure, and enterprise technology recruiting, specialized areas where success depends on understanding complex technologies and earning the trust of technical talent.

Within a few years, he had established himself among the organization's top performers.

A defining leadership moment arrived when he was assigned to support a newly launched engagement with one of the world's leading financial institutions. The team was new, the expectations were high, and leadership gaps were evident. Rather than waiting for authority to be delegated, Tripathi stepped forward to provide guidance and structure.

"It was a new team, and I felt I could contribute my experience," he says.

That instinct, to lead before being asked, would become a hallmark of his career. Over the years, he progressed from Talent Acquisition Manager to Director, earning five Talent Engine Leader of the Year awards, including consecutive recognitions and another company-wide honor in 2020. Yet despite a long list of accomplishments, he still points to 2018 as one of the most defining years of his professional journey.

Most talent leaders spend their careers evaluating technology.

Tripathi builds it.

Ascendion's proprietary AI platform, AAVA, provides an environment where solutions can be developed, tested, and deployed using leading AI models. While many organizations are still discussing the possibilities of AI, Tripathi's team has already moved decisively into execution.

Today, approximately twelve AI agents actively support recruiters across multiple geographies and business units.

The first emerged from a challenge recruiting leaders everywhere have begun to recognize.

Resumes are increasingly AI-assisted. Job descriptions are increasingly AI-assisted. Traditional matching systems often compare one AI-generated document against another and produce near-perfect alignment scores that may reveal surprisingly little about the candidate behind the profile.

Tripathi believed recruiters needed greater visibility.

His solution was an agent designed not to judge, but to guide. Rather than issuing definitive conclusions, it highlights signals recruiters should explore more deeply during screening conversations and technical interviews.

"I'm not saying AI-written resumes are bad," he explains. "Everyone is using these tools. The goal is simply to understand where deeper validation may be needed."

The next challenge was even more consequential.

As hiring became increasingly digital, organizations faced growing concerns around profile inflation, identity inconsistencies, and exaggerated career narratives. In response, Tripathi's team developed a technical consistency agent capable of identifying claims that do not logically align, such as unexplained jumps in expertise, conflicting responsibilities, or timelines that warrant closer review.

From there, the ecosystem expanded.

Additional agents automate candidate outreach, generate personalized engagement campaigns, trigger interview communications, adapt candidate presentations to client-specific formats, and identify opportunities where talent may be better aligned to different industries, clients, or business units.

What makes the initiative particularly noteworthy is not simply the technology itself, but how broadly it has been adopted.

Rather than delivering completed tools and expecting recruiters to embrace them, Tripathi created an environment of participation and experimentation. He launched hands-on workshops where recruiters were encouraged to identify challenges, build solutions, and share them with their peers.

If someone could not build an agent independently, they were encouraged to bring forward the idea.

The team would build it together.

What began as a series of isolated experiments gradually evolved into a global capability embedded across the recruiting organization.

For someone deeply immersed in automation, Tripathi is remarkably clear about its limitations.

The question appears frequently: Will AI replace recruiters?

His answer never changes.

"No, absolutely not."

Despite the extraordinary advances in automation, he believes talent acquisition remains fundamentally human. AI can accelerate workflows, surface insights, and reduce administrative burden, but relationships, judgment, trust, and decision-making continue to define hiring outcomes.

Even in highly automated environments, he believes experienced recruiters remain essential.

Technical assessments still require human interpretation. Candidate potential cannot always be measured through data alone. Hiring decisions require context, nuance, and empathy, qualities no technology has fully replicated.

For Tripathi, every AI initiative serves a singular purpose: eliminating repetitive work so recruiters can focus more of their time on the moments that truly influence hiring outcomes.

His philosophy extends beyond technology itself.

He is equally thoughtful about the people navigating change.

Some embrace transformation immediately. Others require time, reassurance, and experience before they become comfortable with new approaches. Having led large-scale adoption efforts, Tripathi understands both perspectives.

Transforming established habits rarely happens overnight.

It requires patience, communication, and persistence.

Most importantly, it requires leaders willing to guide people through uncertainty rather than simply demand change.

Of all the trends shaping the future of recruiting, one excites Tripathi more than any other: the next generation of talent professionals.

Unlike those who entered the profession years ago, today's recruiters do not have to unlearn traditional ways of working before adopting AI. They entered the industry alongside these technologies. Intelligent matching, automated workflows, and AI-assisted decision support are part of their normal operating environment.

As a result, many are moving at extraordinary speed.

Tripathi has watched this evolution firsthand.

His advice is rooted in a philosophy he strongly believes in: the idea that technology can dramatically amplify individual impact when used effectively and responsibly.

For emerging recruiters, his guidance is straightforward:

Continue learning.

Continue experimenting.

Continue embracing the technologies reshaping the profession.

AI fluency is not a shortcut. It is a competitive advantage.

The faster professionals learn to combine technology with human expertise, the more value they create for candidates, recruiters, and organizations alike.

It is, in many ways, the same principle that has guided Tripathi's own career. From the moment he chose recruiting over software engineering, he has consistently looked beyond conventional paths and toward emerging possibilities.

The industry continues to evolve.

New technologies emerge. New challenges appear. Expectations change.

And while the landscape around him has transformed repeatedly, one thing has remained remarkably consistent: Arpit Tripathi continues building what comes next.

The Talent 100 exists to celebrate the individuals shaping the future of hiring, and few embody that mission more fully than Arpit. Through his leadership, innovation, and commitment to advancing both technology and talent, he has helped redefine what modern recruiting can look like.

We are proud to welcome Arpit Tripathi to the Talent 100, Class of 2026 and grateful for the expertise, vision, and leadership he brings to the profession.

Congratulations, Arpit. Welcome to the Talent 100.