Forward Deployed Engineer (FDE), Healthcare Seattle

About the team

OpenAIs Forward Deployed Engineering team partners with healthcare organizations to deploy production AI systems across clinical operational and member-facing workflows. We work at the boundary of customer deployment and core platform development using customer engagements to define repeatable architectures evaluations integrations and operating standards for complex regulated healthcare environments.

About the role

We are hiring a Forward Deployed Engineer (FDE) to own end-to-end deployments of our models within healthcare organizations including payers providers health systems and healthcare technology companies. You will lead technical discovery architecture implementation evaluation productionization and handoff translating complex customer workflows data infrastructure and regulatory constraints into production AI systems.

You will measure success through production adoption measurable workflow impact and evaluation loops that establish customer-specific benchmarks acceptance criteria and launch readiness. Youll collaborate directly with customer technical and operational teams alongside internal Business Research Product Engineering and Security partners to deliver solutions and translate deployment learnings into product improvements. This role owns the technical solution; ownership of the commercial or executive relationship is not required.

This role is based in Seattle. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. Travel up to 50% is required.

In this role you will

• Own the technical solution end to end from customer discovery and workflow scoping through architecture hands-on implementation evaluation production deployment adoption and handoff.

• Partner credibly with customer engineers operators and domain experts to frame ambiguous problems define scope and translate payer provider or health-system workflows into technical requirements and measurable outcomes.

• Design and implement production AI applications and agentic systems that integrate with customer infrastructure enterprise APIs data platforms electronic health records claims systems and operational tools.

• Build with appropriate 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 that measure model and system quality against customer-specific acceptance thresholds.

• Use evaluation results error analysis observability and customer feedback to improve system 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 for healthcare and other regulated enterprise environments.

You might thrive in this role if you

• Bring 6 years of software engineering ML/AI engineering solutions engineering technical consulting or comparable experience with the technical depth

• Have operated as a senior engineer tech lead or deployment owner who is trusted to make technical decisions in ambiguous environments.

• Are deeply hands-on and have personally owned technical discovery architecture implementation evaluation productionization and handoff for complex customer-facing or enterprise systems.

• Have healthcare experience including payer workflows provider operations EHR systems or interoperability standards such as Epic HL7 and FHIR.

• Have exposure to provider or health-system workflows such as clinical operations revenue cycle management patient access or contact centers; or to EHR and interoperability technologies such as Epic Oracle Health/Cerner MEDITECH HL7 FHIR or health information exchanges.

• Have shipped complex systems as a forward deployed or customer engineer an engineer inside a payer provider or health system a builder at an EHR interoperability revenue cycle payer-tech or healthcare infrastructure company a hands-on technical consultant or integrator a solutions architect for regulated enterprises or a technical founder or early engineering leader.

• Apply strong judgment to AI evaluation privacy security governance and reliability. Prior FDE titles clinical credentials and experience across every healthcare domain are not required.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core and to achieve our mission we must encompass and value the many different perspectives voices and experiences that form the full spectrum of humanity.

We are an equal opportunity employer and we do not discriminate on the basis of race religion color national origin sex sexual orientation age veteran status disability genetic information or other applicable legally protected characteristic.

For additional information please see OpenAIs Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be administered in accordance with applicable law and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws including the San Francisco Fair Chance Ordinance the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct adverse and negative relationship with the following job duties potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary confidential and non-public addition job duties require access to secure and protected information technology systems and related data security obligations.

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