Forward Deployed Engineer, Life Sciences

Domino Data Lab

3d•Remote

About The Position

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.

Requirements

Deep proficiency in Python (primary).
Familiarity with SQL, R, and Bash.
Experience with Kubernetes and managed K8s solutions (such as EKS, AKS, or GKE).
Experience with Docker.
Experience with cloud architecture (AWS, Azure, or GCP).
Capability to troubleshoot networking, compute, and platform issues.
Proven track record of delivering machine learning workflows, model deployment/monitoring, GPU workloads, and generative AI or agent frameworks.
Experience operating within, or consulting for, highly regulated or constrained environments.
Ability to navigate multi-factor constraints like strict compliance rules, data security hurdles, and infrastructure limits.
Exceptional communication skills across both technical and business audiences.
Comfortable running structured discovery conversations.
Comfortable leading technical solutioning sessions.
Ability to translate messy customer requirements into buildable, tested solutions.
An "act fast, own it" mentality.
Thrive in ambiguity.
Do not let blockers sit.
Comfortable making yourself productive inside an unfamiliar codebase quickly.

Nice To Haves

Solutions instincts.
Customer empathy.

Responsibilities

Build and deploy production-grade AI solutions that solve real, high-impact use cases.
Develop specialized AI inferencing workflows, custom cloud and data integrations, and interactive applications.
Work on frontier solutions around Statistical Computing Environments (SCE) and clinical CRM.
Master Domino platform mechanics and learn core user/admin functionalities.
Shadow the customer’s environment, pairing with a senior FDE to learn the client’s unique data, tooling stack, and commercial objectives.
Step into full customer ownership across engagements, executing independently against a prioritized backlog.
Build and deploy production-grade solutions across the entire MLOps lifecycle (development, deployment, and monitoring).
Advise data science teams on Domino best practices.
Lead and advise on key accounts, serving as a trusted advisor to technical and business stakeholders.
Author reusable playbooks, integration templates, and deployment guides for the shared knowledge base.
Translate field intelligence into critical product feedback, routing platform signals to SRE, Support, and Product teams to shape Domino’s roadmap.