3 hours ago
Base Salary
$185k - $300k/yr
Responsibilities
- Design and ship production systems around AI models, including integrations, data provenance, reliability, and on-call readiness.
- Lead customer discovery and scoping from pre-sales through post-sales and translate workflow needs into system requirements and execution plans.
- Define and enforce launch criteria for regulated environments, including validation evidence, audit readiness, and measurable outcome metrics.
- Build systems for sensitive scientific data environments with appropriate auditability, validation, access controls, and failure handling.
- Run evaluation loops against workflow-specific scientific benchmarks and use findings to drive model and product changes.
- Convert deployment learnings into reusable primitives, reference architectures, validation templates, and benchmark harnesses.
Requirements
- 5+ years of software or ML engineering or technical deployment experience with customer-facing ownership in biotech, pharma, clinical research, or scientific software.
- Experience owning customer GenAI deployments end-to-end from scoping through production adoption, including evaluation design, error analysis, and evidence generation.
- Experience delivering AI systems in trial design, regulatory writing, or scientific operations where validation, auditability, compliance, and reviewer expectations shaped system design.
- Ability to communicate technical tradeoffs across scientific, clinical, research, technical, and executive audiences.
- Systems-thinking approach with strong execution standards and the ability to turn failures, escalations, and audit findings into repeatable operating standards and deployment playbooks.
- A PhD, MS, or equivalent applied experience in a life-sciences-relevant field is encouraged.
Benefits
- Hybrid work model with three 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.