2 months ago
Base Salary
$198k - $294k/yr
Responsibilities
- Own the technical solution from customer discovery and workflow scoping through 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 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.
- Use evaluation results, error analysis, observability, and customer feedback to improve reliability, performance, model selection, workflow impact, and production readiness.
- Create reusable reference architectures, interoperability and integration patterns, evaluation harnesses, security controls, and technical primitives from deployment learnings.
Requirements
- 6+ years of software engineering, ML/AI engineering, solutions engineering, technical consulting, or comparable experience.
- Senior engineer, tech lead, or deployment-owner experience with the judgment to make 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 healthcare workflows or technologies including clinical operations, revenue cycle management, patient access, contact centers, EHRs, interoperability, or health information exchanges.
- Experience shipping complex systems as a forward deployed or customer engineer, healthcare engineer, technical consultant or integrator, regulated-enterprise 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 with 3 days per week in the San Francisco office
- Relocation assistance is offered
- Up to 50% travel 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.