Forward Deployed Engineer

Join Domino, a leading AI and MLOps platform, as a Forward Deployed Engineer. In this role, you will work closely with customers to build and deploy production-grade AI solutions, navigate regulated environments, and serve as a trusted advisor to technical and business stakeholders. You will receive comprehensive benefits, including premium medical, dental, and vision insurance, commuter benefits, flexible paid time off, and annual education reimbursement.

• Assurer la livraison de solutions d'intelligence artificielle de production de haute qualité, en travaillant en étroite collaboration avec les équipes de science des données des clients.
• Prendre en charge l'ensemble du cycle de vie des opérations MLOps, de la conception au déploiement et à la surveillance, tout en conseillant activement les équipes de science des données sur les meilleures pratiques.
• Agir en tant que conseiller de confiance pour les parties prenantes techniques et commerciales, en dirigeant et en conseillant sur les comptes clés.

• 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
• 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
• AI & MLOps Experience: A proven track record of delivering machine learning workflows, model deployment/monitoring, GPU workloads, and generative AI or agent frameworks
• 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
• 1-3 years of experience working in a customer-facing technical role
• Core Technical Stack: Strong engineering roots with deep proficiency in Python (primary), alongside familiarity with SQL, R, and Bash
• 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