Tech Stack
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
AI @ 7
API
Agentic Systems
Machine Learning
Observability
Oracle @ 6
Security @ 7
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
OpenAI’s Forward Deployed Engineering team partners with healthcare organizations to deploy production AI systems across clinical, operational, and member-facing workflows. The team works at the boundary of customer deployment and core platform development, defining repeatable architectures, evaluations, integrations, and operating standards for complex, regulated healthcare environments.
The role owns end-to-end deployment of OpenAI models within payers, providers, health systems, and healthcare technology companies. Responsibilities include technical discovery, architecture, hands-on implementation, evaluation, productionization, adoption, and handoff. The role translates customer workflows, data, infrastructure, and regulatory constraints into production AI systems and collaborates with customer technical and operational teams and internal Business, Research, Product, Engineering, and Security partners. Ownership of the commercial or executive relationship is not required.
The role is based in Seattle and follows a hybrid model with three days per week in the office. Travel of up to 50% is required.
Responsibilities
- Own the technical solution end to end, from customer discovery and workflow scoping through architecture, implementation, evaluation, production deployment, adoption, and handoff.
- Partner with customer engineers, operators, and domain experts to frame ambiguous problems, define scope, and translate payer, provider, and health-system workflows into technical requirements and measurable outcomes.
- Design and implement production AI applications and agentic systems integrating with customer infrastructure, enterprise APIs, data platforms, electronic health records, claims systems, and operational tools.
- Build safeguards for protected health information (PHI), HIPAA, privacy, security, authorization, governance, auditability, and other regulated-delivery requirements.
- Define and operationalize evaluations, validation evidence, human-review workflows, escalation paths, and launch criteria based on customer-specific acceptance thresholds.
- Use evaluation results, error analysis, observability, and customer feedback to improve reliability, performance, model selection, workflow impact, and production readiness.
- Distill deployment learnings into reference architectures, interoperability and integration patterns, evaluation harnesses, security controls, and reusable technical primitives.
Requirements
- 6+ years of experience in software engineering, ML/AI engineering, solutions engineering, technical consulting, or comparable technical work.
- Experience operating as a senior engineer, tech lead, or deployment owner making technical decisions in ambiguous environments.
- Hands-on ownership of technical discovery, architecture, implementation, evaluation, productionization, and handoff for complex customer-facing or enterprise systems.
- Healthcare experience involving payer workflows, provider operations, EHR systems, or interoperability standards such as Epic, HL7, and FHIR.
- Exposure to clinical operations, revenue cycle management, patient access, contact centers, EHRs, interoperability technologies, health information exchanges, Oracle Health/Cerner, or MEDITECH.
- Experience shipping complex systems as a forward deployed or customer engineer, healthcare engineer, technical consultant, integrator, solutions architect for regulated enterprises, technical founder, or early engineering leader.
- Strong judgment in AI evaluation, privacy, security, governance, and reliability.
Benefits
- Base salary of $198,000–$294,000 per year, plus equity.
- Medical, dental, and vision insurance, with employer contributions to Health Savings Accounts.
- Pre-tax FSA and commuter accounts.
- 401(k) retirement plan with employer match.
- Paid parental, medical, caregiver, and sick or safe leave.
- Paid time off and company holidays.
- Mental health and wellness support.
- Employer-paid basic life and disability coverage.
- Annual learning and development stipend.
- Office meals and eligible meal delivery credits.
- Relocation support for eligible employees.
- Additional benefits may include charitable donation matching and wellness stipends.