Senior Forward Deployed Engineer

Clinicians using Suki spend over 70% less time on administrative work, and our customers see a 9X return in their first year.

Suki Assistant, our flagship product, uses AI to write clinical documentation in real time and cuts the time it takes to finish a note by 72%.

We are now opening that same technology to the rest of healthcare through Suki Platform, the AI infrastructure that powers voice-enabled experiences across telehealth platforms, care delivery tools, and specialty EMRs.

We are hiring a Senior Forward Deployed Engineer to put that platform into production with our customers.

What this role really is

Healthcare systems are messy.

The distance between a customer's idea and a working integration is large, and most of it is unglamorous: APIs that behave differently in production than they do on paper, clinical workflows that resist standardization, and edge cases that decide whether a clinician trusts the product or turns it off.

The Solutions team lives in that distance.

You will work more closely with Platform customers than anyone else at Suki, connecting their systems and applications to the Suki Platform APIs and SDKs and shaping how dictation, ambient, text generation, and summarization gets deployed.

Ambient AI sits at the most context-rich moment in care, the conversation between a clinician and a patient.

It is also the easiest to lose.

Getting it right is what turns that exchange into better diagnoses, cleaner follow-ups, and revenue that would otherwise slip away.

A typical week looks like

• Customer scoping. Sit with a customer's engineers, product owners, and clinical champions to understand what they want to build and what success measures.
• Integration work. Connect customer systems to the Suki Platform APIs and SDKs, and work through the security, data, and edge-case problems that come with them.
• Solution design. Decide how dictation, ambient, text generation, and summarization should combine to meet a real user need, then estimate the complexity and timeline and commit to it.
• Deployment. Stand up distributed applications across both on-premises and cloud-hosted environments and see them through to production.
• Translation. Explain technical decisions and trade-offs to non-technical and executive audiences on the customer side and carry their feedback back to our engineers and data scientists.