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Parallel is seeking a Field Deployment Engineer to technically lead end-to-end deployments of AI, RPA, and computer-use solutions in healthcare facilities around Paris. You will be the interface between the Parallel platform and clients, understanding each site’s IT infrastructure and adapting the platform to interfaces, security, and on-prem constraints.
You’ll work hands-on to unblock projects, document deployment standards, and help teams adopt the new tools.
At Parallel, we build AI agents to help healthcare facilities automate their administrative processes and unlock additional revenue, starting with medical coding.
Today, up to 25% of healthcare spending is lost in manual, repetitive administrative work. Legacy software hasn't helped, it's made things slower, more complex, and more frustrating for care teams.
We believe AI agents can change that. Our technology combines Large Language Models with system-level automation to handle real work inside existing hospital tools. No integrations, no disruption.
Our first agent automates coding workflows and frees up time for medical staff to focus on patients.
We launched in 2024, are backed by top investors (Index, Frst, Y Combinator, Hexa, Kima Ventures, Better Angle), and we're just getting started.
The future of healthcare isn't just digital - it's automated. Come help us build it !
Parallel is a healthcare platform deploying AI, RPA, and computer use solutions across healthcare facilities. We need someone capable of technically leading these deployments on the ground, adapting to real-world environments and the specific constraints of each facility.
Be the technical interface between the Parallel platform and our clients. Technically lead end-to-end deployments by understanding each facility's IT infrastructure, adapt our platform to their constraints (interfaces, integrations, security, network architecture, on-prem deployments), and unblock projects by getting hands-on with the product when needed.
If you're drawn to what we're building but don't meet every requirement, we still want to hear from you. Studies show that women in particular tend to apply only when they meet 100% of the criteria. If that's you, please don't let that hold you back. We'd love to receive your application.