Forward Deployed Engineer (Fde), Life Sciences (Ai)

TL;DR

Forward Deployed Engineer (FDE), Life Sciences (AI): Leading end-to-end deployments of AI models inside life sciences organizations and research institutions with an accent on integrations, data flows, reliability, and on-call readiness. Focus on sensitive data environments, auditability, validation, and access controls.

Location: Based in San Francisco, must be located in the US. Hybrid work model of 3 days in the office per week. Relocation assistance is offered. Travel up to 50% is required.

Salary: $180K – $280K + Offers Equity

Company

hirify.global is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity.

What you will do

• Lead discovery and scoping from pre-sales through post-sales, including problem framing, constraints, trade-offs, and a delivery plan.
• Design and ship production systems around models, owning integrations, data flows, reliability, and on-call readiness.
• Build in sensitive data environments where auditability, validation, and access controls drive architecture decisions.
• Define launch criteria for regulated contexts, outcome metrics, and drive adoption until you prove production impact.
• Run evaluation loops that measure model and system quality in life science workflows to drive model and product improvements.
• Distill production learnings into hardened primitives, reference architectures, and templated workflows that scale across regulated life sciences environments.

Requirements

• 5+ years of engineering or technical deployment experience with customer-facing ownership in biotech, pharma, clinical research, or scientific software.
• Advanced degree or equivalent applied experience in Biomedical Engineering, Computational Biology, Bioinformatics, or a related field.
• Experience owning customer GenAI deployments end-to-end from scoping through production adoption and improved them through evals, error analysis, and iteration.
• Experience delivering AI systems in trial design, regulatory writing, or scientific environments where validation, auditability, and compliance constraints shaped the system.
• Communicate clearly across scientific, model research, technical, and executive audiences, translating technical concepts for non-technical stakeholders with credibility.
• Apply systems thinking with high execution standards, consistently turning failures or escalations in regulated environments into new operating standards.

Culture & Benefits

• AI is an extremely powerful tool that must be created with safety and human needs at its core.
• Encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
• Equal opportunity employer, and does 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.