2 months ago
Base Salary
$198k - $294k/yr
Responsibilities
- Own technical solutions end to end, including customer discovery, workflow scoping, architecture, hands-on implementation, evaluation, production deployment, adoption, and handoff.
- Partner with customer engineers, operators, and domain experts to translate healthcare workflows into technical requirements and measurable outcomes.
- Design and implement production AI applications and agentic systems integrated with customer infrastructure, enterprise APIs, data platforms, EHRs, claims systems, and operational tools.
- Build safeguards for protected health information, 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 against customer-specific acceptance thresholds.
- Use evaluation results, error analysis, observability, and customer feedback to improve reliability, performance, model selection, workflow impact, and production readiness.
- Convert deployment learnings into reference architectures, interoperability and integration patterns, evaluation harnesses, security controls, and reusable technical primitives.
Requirements
- At least 6 years of software engineering, ML/AI engineering, solutions engineering, technical consulting, or comparable experience.
- Experience operating as a senior engineer, tech lead, or deployment owner who makes 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, EHR technologies, interoperability technologies, or health information exchanges.
- Experience shipping complex systems as a forward deployed engineer, customer engineer, healthcare engineer, technical consultant, integrator, solutions architect, technical founder, or early engineering leader.
- Strong judgment in AI evaluation, privacy, security, governance, and reliability; prior FDE titles and clinical credentials are not required.
Benefits
- Hybrid work model requiring 3 days in the New York City office per week
- Relocation assistance is offered
- Travel of up to 50% is required
Categories
Forward Deployed
About OpenAI
OpenAI builds and deploys large-scale AI models and tools—including ChatGPT, GPT-4–class models, DALL·E, and Whisper—sold via APIs and enterprise subscriptions to developers and businesses. It monetizes through usage-based API pricing and ChatGPT Plus/Team/Enterprise, and also reaches customers via Microsoft’s Azure OpenAI Service. Founded in 2015 and headquartered in San Francisco, it operates as a private partnership.