Forward-Deployed AI Engineer, Life Sciences

OpenAI; Paris; Hybride; EUR 60 000 - 80 000; Plein temps

Résumé du poste

A leading AI technology company is hiring a Forward Deployed Engineer in Paris to lead the deployment of AI models in the life sciences sector. This role involves designing production systems, guiding customer engagements from pre-sales to deployment, and ensuring compliance with regulatory standards. Candidates should have 5+ years of experience in software engineering or technical deployments within biotech or pharma, with strong communication skills to engage diverse audiences. The position follows a hybrid work model, requiring some travel.

Prestations

Relocation assistance

Hybrid work model

Qualifications

• 5+ years of experience in software/ML engineering with customer ownership.
• Expertise in biotech, pharma, or scientific software development.
• Ability to communicate across scientific and technical audiences.

Responsabilités

• Design and ship production systems for models across clinical workflows.
• Lead discovery from pre-sales to post-sales with clear requirements.
• Define criteria for regulated contexts, ensuring validation and audit readiness.
• Run evaluation loops against scientific benchmarks to improve systems.
• Document deployment learnings into scalable templates and architectures.

Connaissances

Software/ML engineering

Customer-facing ownership

Biotech and pharma experience

Technical deployment

Systems thinking

Formation

PhD, MS, or equivalent in life sciences

Description du poste

A leading AI technology company is hiring a Forward Deployed Engineer in Paris to lead the deployment of AI models in the life sciences sector. This role involves designing production systems, guiding customer engagements from pre-sales to deployment, and ensuring compliance with regulatory standards. Candidates should have 5+ years of experience in software engineering or technical deployments within biotech or pharma, with strong communication skills to engage diverse audiences. The position follows a hybrid work model, requiring some travel.