Staff Forward Deployed Engineer
About The Position
Suki is hiring a Staff Forward Deployed Engineer to lead technical delivery for its most important Platform customers. This is an individual contributor role focused on owning complex customer integrations from scoping through production. The engineer will turn customer learnings into reusable tools and patterns, and provide product feedback to help the broader team deliver more effectively. The role involves working directly with customer engineering, product, clinical, and IT teams to integrate AI into healthcare systems. It includes designing solutions for dictation, ambient AI, text generation, and summarization; making architecture decisions; deploying distributed applications in on-premises and cloud environments; and supporting those applications after launch through monitoring and incident response. The position includes onsite customer work and approximately 15% travel.
Requirements
- At least 8 years of experience in forward deployed engineering, solutions engineering, technical consulting, or application development.
- Experience serving as technical lead on complex customer projects and influencing work beyond personal contributions.
- Strong skills in Python, Go, or Java, and working knowledge of TypeScript, JavaScript, and React.
- Experience shipping LLM features to production, including prompt design, evaluation, and trade-offs among latency, cost, and quality.
- Strong knowledge of OpenAPI 3.0, API design, and API security.
- Experience deploying and operating distributed systems on-premises and in the cloud.
- Strong computer science fundamentals, including data structures, algorithms, probability, and system design.
- Clear communication with engineers, clinicians, and executives, including onsite work with customer IT teams.
Nice To Haves
- Healthcare experience, such as HIPAA, EHR integrations, or HL7/FHIR.
- Experience with real-time or streaming systems, such as WebSockets, gRPC, or audio streaming.
Responsibilities
- Lead technical delivery for strategic Platform customers, working directly with their engineering, product, and clinical teams.
- Translate unclear customer requirements into solution designs using dictation, ambient AI, text generation, and summarization.
- Make architecture decisions involving security, data handling, and edge cases.
- Build reusable reference implementations and playbooks.
- Deploy distributed applications in on-premises and cloud environments, and own them after launch, including monitoring and incident response.
- Bring customer feedback to Platform, ML, and Product teams and help shape the roadmap.
- Mentor other engineers, review their work, and help with hiring.
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
