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Forward Deployed Engineer (Life Sciences)
Domino Data Lab · New York, United States
About The Role
Join Domino, a leading AI business solutions platform, as a Forward Deployed Engineer in the Life Sciences vertical. You will be embedded in a customer's environment, building AI workflows and deploying production-grade solutions. Your work will have a significant impact on the pharmaceutical and life sciences industry. Enjoy benefits such as premium medical insurance, commuter benefits, flexible paid time off, and annual education reimbursement.
- Construire et déployer des solutions d'IA de production dans le secteur des sciences de la vie, en gérant l'ensemble du cycle de vie MLOps.
- Assumer la responsabilité complète de l'engagement client, en exécutant de manière indépendante contre un backlog priorisé.
- Servir de conseiller de confiance pour les parties prenantes techniques et commerciales, en dirigeant et en conseillant sur les comptes clés.
- Regulated Environment Navigation: Experience operating within, or consulting for, highly regulated or constrained environments. You can expertly navigate multi-factor constraints like strict compliance rules, data security hurdles, and infrastructure limits
- AI & MLOps Experience: A proven track record of delivering machine learning workflows, model deployment/monitoring, GPU workloads, and generative AI or agent frameworks
- Cloud & Infrastructure: Experience with Kubernetes and managed K8s solutions (such as EKS, AKS, or GKE), Docker, and cloud architecture (AWS, Azure, or GCP). You should be capable of troubleshooting networking, compute, and platform issues
- We are looking for a sharp, action-first engineer who possesses a unique blend of deep technical grit and customer empathy
- Consultative Mindset: Exceptional communication skills across both technical and business audiences. You are comfortable running structured discovery conversations, leading technical solutioning sessions, and translating messy customer requirements into buildable, tested solutions
- Core Technical Stack: Strong engineering roots with deep proficiency in Python (primary), alongside familiarity with SQL, R, and Bash
- Execution Style: An "act fast, own it" mentality. You thrive in ambiguity, do not let blockers sit, and are comfortable making yourself productive inside an unfamiliar codebase quickly
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