Domino Data Lab
Forward Deployed Engineer, Life Sciences
$185K–$220K
Remote US · Remote · Full-time · Posted Jul 2, 2026
- Visa sponsorship
- Visa sponsorship, including H-1B and other employment-based categories, may be available depending on business considerations and role requirements; eligibility is assessed individually and is not guaranteed.
About the job
Build and deploy production-grade AI and MLOps solutions in life sciences customers’ regulated environments, while advising teams and shaping Domino’s platform through customer feedback.
What you'll do
- Develop, deploy, and monitor customer solutions across the MLOps lifecycle, including AI workflows, integrations, and applications.
- Own customer engagements, advise technical and business stakeholders, and translate customer needs into tested solutions.
- Create reusable delivery materials and relay customer feedback to SRE, Support, and Product teams.
What they ask for
- Strong proficiency in Python and familiarity with SQL, R, and Bash.
- Experience with Kubernetes or managed Kubernetes, Docker, and cloud architecture on AWS, Azure, or GCP.
- Track record delivering machine learning workflows, model deployment and monitoring, GPU workloads, and generative AI or agent frameworks.
- Experience operating in or consulting for highly regulated or constrained environments.
Pay
$185,000 — $220,000 USD (total compensation range; compensation type not specified)
Tools
Python, SQL, R, Bash, Kubernetes, EKS, AKS, GKE
AI focus
Build and deploy production AI solutions, including machine-learning workflows, specialized AI inferencing, generative AI, and agent frameworks; support model deployment and monitoring.
Model-written summary · the original posting is authoritative