Applied AI Tech Lead

Applied AI Tech Lead

As an Applied AI Tech Lead at Amigo, you'll lead the technical delivery of customer deployments end to end. You'll set the architecture, break big ambiguous problems into work a team can own, commit the timelines, and hold the bar for what ships. It's a hands-on leadership role at the intersection of engineering, product, and the customer.

Depending on your strengths, the role leans toward deep technical leadership, people leadership, or both. Some tech leads are the deepest technical authority on the team and take the hardest problems themselves. Others manage a handful of engineers and own how the team operates. Most do some of each. We work out the shape with you.

You may be a fit if:

• You've led significant engineering work end to end, as a tech lead, staff engineer, or engineering manager
• You've broken hard, ambiguous problems into work other engineers could own and deliver
• You have real experience with LLMs and agent systems, or the depth to get there fast
• You have the judgment to make tradeoffs and the standing to say no when something doesn't hold up
• You lead well, whether through architecture, through people, or both
• You're low ego, direct, and hold yourself and your team to a high bar
• You can work on site in New York City

Nice to have:

• Experience in a regulated or high-reliability domain (healthcare, finance, legal)
• Experience shipping production AI or ML systems
• Background in customer-facing or forward-deployed engineering
• Experience growing engineers or running a small team

If patients aren't getting better care, we haven't earned the right to scale. Every internal decision gets pressure-tested: does this make patients' lives better? If we can't draw the line, we question why we're doing it.

We hold a high bar for the team because patients are counting on us to get this right. But high standards only work with genuine investment in each other. You can take risks, admit mistakes, and challenge ideas—not despite our standards, but because of them.

We move fast by default, but speed without judgment is recklessness. The discipline is knowing which decisions are reversible vs. not. In healthcare AI, the companies that win will be fast everywhere they can be and careful everywhere they must be. We build the muscle to do both.

We instrument patient outcomes, provider ROI, system performance, and clinical accuracy. But data without action is surveillance. Every metric should have an owner, a threshold, and a response plan. If we're measuring something but never acting on it, we stop measuring it.

• Low ego: Politics and territory don't interest you. The best ideas win, regardless of who has them.
• Direct: You say the hard thing, challenge ideas openly, and commit fully once decided.
• High agency: You thrive on trust rather than instruction. When you see something is broken, you fix it. You don't file tickets and wait for someone else.
• Bar of excellence: You hold yourself to a bar most people wouldn't, and you want teammates who do the same.
• Skeptical: You push back on rules that don't make sense and question assumptions that haven't earned their place.