Amigo builds AI agents that deliver healthcare autonomously—AI doctors, AI nurses, and AI care coordinators. Our agents handle clinical workflows and patient engagement across the entire patient journey: pre-visit intake, triage, care navigation, post-visit care plans, side effect management, and medication adherence. Context-aware with memory across sessions and the ability to take clinical action.
We own outcomes, not just delivery. For our customers, we're responsible for agent performance: clinical safety, continuous improvement, measurable patient outcomes. Agents operate autonomously within bounded clinical domains, with clear scope and handoff protocols. That scope expands as we validate performance across populations.
We're fresh off our Series A from Tier 1 investors like General Catalyst, GSV Ventures, SVA, and CohoVC. Our work is validated with leading academic medical institutions. We're currently reaching 1M+ patient interactions every 90 days, and are on track to 10x this year.
As a Solution Architect at Amigo, you'll own the technical integration layer between our AI agents and legacy health systems. You'll design and implement connections to EHRs like Epic, athenahealth, Oracle Health, Canvas, and Healthie, enabling agents to read patient data, write clinical notes, and execute actions within existing workflows.
This role bridges deep healthcare IT expertise with production engineering. You'll work directly with health system IT teams to navigate authentication, data formats, and compliance requirements while building integrations that our agents depend on for clinical operations.
Design and implement EHR integrations (Epic, athenahealth, Oracle Health, Canvas, Healthie) for bidirectional data exchange
Build FHIR-based APIs and HL7 interfaces that enable agents to access patient records and write clinical documentation
Navigate health system IT environments: authentication (OAuth, SMART on FHIR), network configurations, and data access policies
Build reliable data fetching pipelines that agents use to retrieve patient context during clinical workflows
Design integration architectures that handle PHI securely and maintain audit trails
Work directly with health system IT teams to scope, implement, and validate integrations
Build monitoring and alerting for integration health, data freshness, and error rates
Document integration patterns and create repeatable playbooks for new EHR deployments
Collaborate with agent engineers to ensure integrations support clinical workflow requirements
Contribute to compliance documentation for HIPAA, SOC 2, and HITRUST certifications
7+ years of experience with healthcare IT systems and EHR integrations in production environments
Deep knowledge of FHIR, HL7v2, and healthcare interoperability standards gained through hands-on implementation
Experience with Epic, athenahealth, or similar EHR platforms from an integration perspective—ideally at a company where EHR integration was core to the product's value proposition
Strong Python skills including proper use of typing, and experience building highly reliable systems that interact with external APIs (schema design, retry strategies, error propagation)
Understanding of healthcare authentication patterns (OAuth 2.0, SMART on FHIR, SAML)
Experience working directly with health system IT teams on technical implementations
Knowledge of HIPAA compliance requirements and PHI handling
Both execution-oriented and defensive-minded: you ship integrations while anticipating failure modes
Strong debugging skills for distributed systems spanning multiple organizations
Clear communication across engineering, clinical, and customer IT stakeholders
Experience with healthcare data platforms (Databricks, Snowflake) for analytics integrations
Background with real-time streaming systems for clinical event processing
Knowledge of CDS Hooks or clinical decision support integration patterns
Experience with healthcare APIs beyond EHRs (labs, pharmacy, imaging)
Familiarity with healthcare compliance certifications (HITRUST, SOC 2 for healthcare)
Experience building integration monitoring and observability systems
Comprehensive health, dental, and vision insurance
Mental health support and wellness coaching
Flexible wellness stipend for fitness, therapy, or personal growth
Daily catered lunch and dinner
Annual learning budget for courses, books, or conferences
Conference attendance budget for professional development
Development setup of your choice
Academic collaboration opportunities
Top Skills
What We Do
Amigo AI builds trust and safety infrastructure for clinical agents—ensuring AI systems in healthcare provide quantified confidence when mistakes aren't an option. Our platform combines advanced simulation, verification, and recursive optimization to enable healthcare organizations to deploy AI with statistical guarantees about its behavior.
We solve the fundamental challenge of reliable AI in critical domains through deterministic verification for clinical protocols and continuous drift detection for real-world performance. Our systems provide complete transparency—every AI decision is traceable and auditable, with quantified confidence intervals rather than black box predictions.
Founded by technologists from Google, Meta AI, Databricks, Coda, and Plaid, we've built systems that let organizations make informed risk decisions about AI deployment in healthcare. Our interdisciplinary approach draws from computer science, economics, physics, and mathematics to tackle human-centric optimization problems where people and populations are at the center of every solution.
We're actively working with healthcare organizations across digital health, cancer care, cardiac care, and personalized medicine to deploy AI systems that continuously learn and adapt from real-world feedback while maintaining verified safety boundaries. Our technology amplifies human expertise rather than replacing it, empowering domain experts to achieve outcomes neither could accomplish alone.
Why Work With Us
We build AI healthcare systems where 99% isn't good enough. Rapid growth—promotions in 3 months. Freedom to work your way: art museums or late nights. Tackle recursive optimization problems that ship to production. Your work directly impacts critical healthcare decisions. Diverse team from Google, Meta AI, Databricks solving problems that matter.
