TL;DR

Forward Deployed Engineer (FDE), Life Sciences (AI): Leading end-to-end deployments of models inside life sciences organizations and research institutions with an accent on discovery, technical scoping, system design, build, and production rollout. Focus on defining launch criteria for regulated contexts, outcome metrics, and driving adoption until proving production impact.

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

Salary: $220K – $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

Design and ship production systems around models, owning integrations, data flows, reliability, and on-call readiness.
Lead discovery and scoping from pre-sales through post-sales, including problem framing, constraints, trade-offs, and a delivery plan.
Define launch criteria for regulated contexts, outcome metrics, and drive adoption until you prove production impact.
Build in sensitive data environments where auditability, validation, and access controls drive architecture decisions.
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 software/ML engineering or technical deployment experience with customer-facing ownership in biotech, pharma, clinical research, or scientific software.
Advanced degree or equivalent applied experience preferred in Biomedical Engineering, Computational Biology, Bioinformatics, or a related field.
Have owned customer GenAI deployments end-to-end from scoping through production adoption and improved them through evals, error analysis, and iteration.
Have delivered 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

Dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity.
Push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products.
Committed to providing reasonable accommodations to applicants with disabilities.

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