Blackstone's AI push comes with one very human requirement: endless meetings

• Blackstone's applied AI engineers drive AI transformation across the firm's investors' processes.
• The job requires technical building skills, but also lots of meetings to keep everyone aligned.
• Sophia Oguri walked us through what it's like to work in applied AI at Blackstone.

Sophia Oguri is on the front lines of Blackstone's AI transformation.

Blackstone is one of the biggest backers of the AI bet, with more than $150 billion in data center bets and plans to create "McKinsey for AI," to spread LLM-based transformation far into the economy.

In her role as an applied AI engineer on the private equity team, she's one of roughly 50 full-time employees embedding with Blackstone's investing and operating teams to prototype AI tools that make their jobs easier.

Sometimes those prototypes can become part of firm-wide initiatives, but sometimes, they're just a way to find the most efficient solution to a problem.

"The power of technology is building solutions that are both practical and impactful that will support as many users as we need and address as many problems as we're trying to tackle," she said.

Doing that doesn't just mean building products, but finding "alignment" between the needs of different parts of the business. In other words, it requires a lot of meetings.

Oguri spoke with Business Insider about her life on the front lines of AI transformation, her path to becoming an applied AI engineer, and tips for succeeding with AI.

What's the job like?

Oguri's day usually begins at 8:30 am with a flurry of "start-up" meetings across business and tech teams. She works with deal teams to understand their workflows, then shares that back to the tech and engineering team.

Building applications is core to Oguri's role, but the meetings ensure that she's building something that's actually helpful.

But a lot of her understanding comes from observation. She's usually embedded with the private equity team day to day, sitting with "fellow analysts and associates as they work through live deals," she said.

That approach grew out of the firm's data analytics model, which saw data analysts partner with teams to help solve their problems. It's now expanded to include generative AI. Oguri specifically works with the private equity and infrastructure teams.

Oguri started her full-time career at Blackstone in 2022 in traditional data science before becoming a founding member of the applied AI research team.

While a lot of her job is translating the needs of different teams to each other, she's also a "builder," she said, getting "hands-on with the technology" and actually building solutions.

"I start by shadowing their workflows and identifying the most time‑consuming manual tasks," she said. "From there, I quickly prototype solutions, often writing Python tools and testing them with the team the same week."

These prototypes help to inform the private equity team's broader AI strategy, which Oguri helps to develop and present to senior private equity leadership alongside the rest of her team. Some of the tools her team has worked on have been incorporated into firm-wide tools such as Secure Chat and Document AI.

She also supports portfolio companies on AI and data strategy, speaking at the firm's late 2025 portfolio company technology conference to the top technology executives of Blackstone portfolio companies.

While mornings are often heavy with meetings, she said afternoons are best for her to actually build prototypes that can eventually grow into firm-wide tools.

However, her schedule can change if there's a product launch to focus on, a new AI release, or a live deal.

Path to the role

Oguri came to Blackstone first as a summer analyst in 2021, before her senior year at Cornell University. But she was looking for responsibility well before that, seeking out activities as a student that required her to make "real decisions with real consequences."

She was the chief tech officer of a $2.5 million student‑run business, Student Agencies Inc., the oldest independent student-run business in the country, and helped move the company's operations online during the pandemic. She also served as a teaching assistant in advanced operations research and data science courses.

And while she graduated and joined Blackstone months before the launch of ChatGPT kicked off the LLM revolution, she sees AI as a way for students to take "ownership" of their ideas and make them real.

Her biggest piece of advice for college students is to actually spend the time to build one product that solves a problem end-to-end.

"I don't think it needs to be especially novel or perfect, but demonstrating how you think and how you execute is powerful," Oguri said.

She also recommends that students learn the fundamentals of software architecture and the mathematical foundations of LLMs, rather than just "vibe code everything," even though those tools can be helpful.

Since she's joined Blackstone, AI has changed the world, and its use is more mainstream than ever. But, she said, there are still many ways to do what drew her to applied AI work: the ability to make changes to how people experience their day-to-day lives, improve their quality of life, and "helping people to spend less time on repetitive tasks and more time doing strategic work."