How RIT alumni are shaping new careers: Agentic AI engineer

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When Sohil Shah first encountered generative artificial intelligence, he was skeptical.

“It didn’t seem to have practical use cases—it was about as helpful as Microsoft’s Clippy,” said Shah ’15 MS (computer science). “Once I saw agentic AI, I knew it was getting real.”

Today, Shah leads development of an agentic AI system that is helping PayPal’s reliability engineering team operate at a new level. The multi-agent orchestration framework can autonomously manage the full incident life cycle, starting from detection and intelligent triage to stakeholder communication, automated mitigation, and post-incident root cause analysis.

By leveraging agentic AI, Shah said, PayPal has reduced incident repair time from about 45 minutes to less than 5 minutes.

Shah explained that agentic AI is a major step forward because it shifts AI from a passive tool into an autonomous partner. AI agents can build on previous context, plan multi-step processes, and use tools to accomplish goals on their own. Shah’s aim is to help agents get to their goal in a smaller context window—essentially reducing the cost of AI agents.

Before PayPal, Shah worked on TikTok systems at ByteDance and rose to vice president of Software Engineering at JPMorganChase. Now, he’s become a leading voice in agentic AI while speaking at industry conferences, including the AI and Sustainability Global Summit.

Shah said that the scope of work software engineers can do now with AI agents is becoming wider and the quality will be richer. Soon, engineers could manage a whole team of multimodal AI agents collaborating with each other. The human engineer in the loop will play an important role in compliance, providing feedback, and making sure agents are achieving goals.

“With assistance from AI agents, my work has become more meaningful,” said Shah. “I can focus on delivering value and that’s exciting.”

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