Forward Deploy Engineer
About Knowtex
Knowtex is building the future of voice AI operating systems for clinicians, transforming how healthcare documentation happens at the point of care. Founded by Stanford AI scientists with deep clinical experience, we're experiencing explosive growth across both commercial health systems and federal healthcare, with our ambient documentation platform scaling rapidly to thousands of clinicians across hundreds of specialties. We're at an inflection point where cutting-edge AI meets real clinical impact, giving clinicians hours back each day to focus on what matters most - their patients.
Position Overview
Join Knowtex as a Forward Deploy Engineer to be the technical bridge between our platform and healthcare enterprises. You'll be embedded with customers to ensure successful integration of our ambient documentation platform with complex healthcare IT ecosystems.
Key Responsibilities
Lead on-site technical implementations at VA medical centers and major health systems
Integrate Knowtex with VistA/CPRS, Epic Ambulatory, Athena Health, and specialty EMRs
Configure SMART on FHIR applications and FHIR R4 data pipelines
Deploy and optimize AWS GovCloud infrastructure including ECS containers and Lambda functions
Troubleshoot real-time issues during clinical workflows across oncology, orthopedics, and other specialties
Build custom connectors for specialty systems (OncoEMR, 4D EMR, Nextech)
Train clinical staff and IT teams on platform capabilities and best practices
Gather requirements and feedback to inform product roadmap priorities
Support Clinical Decision Support (CDS) Console implementations
Required Qualifications
3+ years experience in healthcare IT implementation or integration
Strong programming skills in Python, JavaScript, and SQL
Experience with healthcare interoperability standards (HL7, FHIR, SMART)
Understanding of AWS services (ECS, Lambda, RDS, API Gateway)
Ability to travel 50-75% to customer sites
Excellent communication skills for working with clinical and technical stakeholders
Bachelor's degree in Computer Science, Engineering, or related field
Preferred Qualifications
Experience with VistA, Epic, or other major EHR platforms
Familiarity with containerization and Kubernetes orchestration
Understanding of clinical workflows and documentation requirements
Experience with Triton Inference Server or ML model deployment
Previous consulting or customer-facing engineering experience
Benefits
Meaningful equity compensation
Unlimited PTO
Premium health, dental, and vision coverage
401(k) plan
Hybrid work model: 3 days/week in our San Francisco office
Average salary estimate
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