- The Customer Engineering Solutions Team at Domino is the primary delivery engine that sits inside the walls of the world’s most regulated and demanding organizations, including Fortune 100 pharmaceutical and life sciences leaders
- A Forward Deployed Engineer is a software engineer with solutions instincts, embedded in a customer’s environment, building AI workflows on Domino that the customer couldn’t have built as fast, or as well, without you

- We write production code, ship it inside the customer’s environment, and stay until Domino is fundamentally part of how they work
- In the Life Sciences vertical, we build and deploy production-grade AI solutions that solve real, high-impact use cases, ranging from specialized AI inferencing workflows, custom cloud and data integrations, and interactive applications, to frontier solutions around Statistical Computing Environments (SCE), clinical CRM, etc

- Our work provides the ultimate proof point that Domino is a comprehensive AI business solutions platform
- In your first year, your impact will unfold across key milestones as you take ownership of strategic life sciences accounts:

- Day 0–30 (Onboard & Shadow): You will be given the resources to master Domino platform mechanics and learn core user/admin functionalities. You will closely shadow the customer’s environment, pairing with a senior FDE to learn the client’s unique data, tooling stack, and commercial objectives

- By Month 6 (Full Ownership): You will step into full customer ownership across your engagements, executing independently against a prioritized backlog managed by your partner Engagement Manager (EM)





- You will build and deploy production-grade solutions across the entire MLOps lifecycle (development, deployment, and monitoring) while actively advising data science teams on Domino best practices

- By Year 1 (Strategic Scale & Leverage): You will lead and advise on key accounts, serving as a trusted advisor to technical and business stakeholders alike

- You will author reusable playbooks, integration templates, and deployment guides for our shared knowledge base, measurably lifting the delivery speed of the entire FDE practice

- Additionally, you will translate field intelligence into critical product feedback, routing platform signals to our SRE, Support, and Product teams to shape Domino’s roadmap

Benefits

- Health & wellness: Premium medical, dental, and vision insurance plans, including a free option for you and your family

- Commuter benefits: What’s your transportation of choice? We support your daily commute, whether Uber, Lyft, bus, or train

- Love for parents: New parents receive up to eight weeks of fully paid-parental leave. P.S. Got baby pics? Share them in our Slack channel dedicated to kids

- Versátil paid time off: We value your right to disconnect. Take the time you need to recharge, spend time with family, and explore the world

- Annual education reimbursement:



Pursue the professional growth that will help you excel in your role with educational opportunities that work for your needs, and at your speed

- Own your outcome: Feel supported to get your work done how and when you need to, regardless of your location- 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

- 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

- Core Technical Stack: Strong engineering roots with deep proficiency in Python (primary), alongside familiarity with SQL, R, and Bash

- 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

📌 Forward Deployed Engineer (Life Sciences) (Barcelona)
🏢 Domino Data Lab
📍 Barcelona